, Intra-Abdominal Fat Is a Major Determinant of the National Cholesterol Education Program Adult Treatment Panel III Criteria for the Metabolic Syndrome, Diabetes, vol.53, issue.8, pp.2087-2094, 2004.
DOI : 10.2337/diabetes.53.8.2087
, Influence of Body Fat Content and Distribution on Variation in Metabolic Risk, The Journal of Clinical Endocrinology & Metabolism, vol.91, issue.11, pp.4459-4466, 2006.
DOI : 10.1210/jc.2006-0814
, Sarcopenia???consequences, mechanisms, and potential therapies, Mechanisms of Ageing and Development, vol.124, issue.3, pp.287-299, 2003.
DOI : 10.1016/S0047-6374(02)00196-3
, Functional and Metabolic Consequences of Sarcopenia, Canadian Journal of Applied Physiology, vol.26, issue.1, pp.90-101, 2001.
DOI : 10.1139/h01-007
, What aspects of body fat are particularly hazardous and how do we measure them?, International Journal of Epidemiology, vol.35, issue.1, pp.83-92, 2006.
DOI : 10.1093/ije/dyi253
, Statistical methods, Human Body Composition, pp.151-160, 2005.
, Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index, Am J Clin Nutr, vol.72, pp.694-701, 2000.
, The effect of sex, age and race on estimating percentage body fat from body mass index: The Heritage Family Study, Int J Obes, vol.26, pp.789-796, 2002.
, Optimized predictions of absolute and relative amounts of body fat from weight, height, other anthropometric predictors, and age, Am J Clin Nutr, vol.83, pp.252-259, 2006.
, Physiological models of body composition and human obesity, Nutrition & Metabolism, vol.4, issue.1, pp.19-32, 2007.
DOI : 10.1186/1743-7075-4-19
, Clinical Usefulness of a New Equation for Estimating Body Fat, Diabetes Care, vol.35, issue.2, pp.383-388, 2012.
DOI : 10.2337/dc11-1334
, Body composition predicted with a Bayesian network from simple variables, British Journal of Nutrition, vol.11, issue.08, 2011.
DOI : 10.1017/S0007114509325738
, Fat-Free Mass Predictions through a Bayesian Network Enable Body Composition Comparisons in Various Populations, Journal of Nutrition, vol.141, issue.8, pp.573-580, 2011.
DOI : 10.3945/jn.111.137935
, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2009.
, Dual-energy X-ray absorptiometry for total body and regional bone mineral and soft tissue composition, Am J Clin Nutr, vol.51, pp.1106-1112, 1990.
, Skeletal muscle mass: evaluation of neutron activation and dual-energy X-ray absorptiometry methods, J Appl Physiol, vol.80, pp.824-831, 1996.
, Applied Nonparametric Statistical Methods, 2001.
, Statistical Learning Theory, 1998.
, Fuzzy support vector machines, IEEE Trans Neural Net, vol.13, pp.464-471, 2002.
, Bayesian Data Analysis, Boca Raton, 2003.
, Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions, The Annals of Mathematical Statistics, vol.22, issue.3, pp.327-351, 1951.
DOI : 10.1214/aoms/1177729580
, Precision Intervals for Estimates of the Difference in Success Rates for Binary Random Variables Based on the Permutation Principle, Biometrical Journal, vol.79, issue.8, pp.977-993, 1996.
DOI : 10.1002/bimj.4710380810
, Statistical methods for assessing agreement between two methods of clinical measurement, International Journal of Nursing Studies, vol.47, issue.8, pp.307-310, 1996.
DOI : 10.1016/j.ijnurstu.2009.10.001
, R: A Language and Environment for Statistical Computing Vienna: R Foundation for Statistical Computing, 2006.
, Body mass index and waist circumference independently contribute to prediction of nonabdominal, abdominal subcutaneous, and visceral fat, Am J Clin Nutr, vol.75, pp.683-688, 2002.
, A composite score combining waist circumference and body mass index more accurately predicts body fat percentage in 6- to 13-year-old children, European Journal of Nutrition, vol.39, issue.1, pp.247-253, 2012.
DOI : 10.1007/s00394-012-0317-5
, Predicting body composition by densitometry from simple anthropometric measurements, Am J Clin Nutr, vol.63, pp.4-14, 1996.
, Use of height:waist circumference as an index for metabolic risk assessment?, British Journal of Nutrition, vol.95, issue.06, pp.1212-1220, 2006.
DOI : 10.1079/BJN20061763
, Trunk Fat and Leg Fat Have Independent and Opposite Associations With Fasting and Postload Glucose Levels: The Hoorn Study, Diabetes Care, vol.27, issue.2, pp.372-377, 2004.
DOI : 10.2337/diacare.27.2.372
, Contributions of total and regional fat mass to risk for cardiovascular disease in older women, American Journal of Physiology - Endocrinology And Metabolism, vol.282, issue.5, pp.1023-1028, 2002.
DOI : 10.1152/ajpendo.00467.2001
, Association of the limb fat to trunk fat ratio with makers of cardiometabolic risk in elderly men and women, J Gerontol A Biol Sci Med Sci, vol.64, pp.1066-1070, 2009.
, Factors influencing variation in basal metabolic rate include fat-free mass, fat mass, age, and circulating thyroxine but not sex, circulating leptin, or triiodothyronine, Am J Clin Nutr, vol.82, pp.941-948, 2005.
, Rapid loss of appendicular skeletal muscle mass is associated with higher all-cause mortality in older men: the prospective MINOS study, American Journal of Clinical Nutrition, vol.91, issue.5, pp.1227-1236, 2010.
DOI : 10.3945/ajcn.2009.28256
, Mortality Risk in Older Men Associated with Changes in Weight, Lean Mass, and Fat Mass, Journal of the American Geriatrics Society, vol.89, issue.2, pp.233-240, 2011.
DOI : 10.1111/j.1532-5415.2010.03245.x
, Cancer-related fatigue: the impact of skeletal muscle mass and strength in patients with advanced cancer, Journal of Cachexia, Sarcopenia and Muscle, vol.147, issue.2, pp.177-185, 2010.
DOI : 10.1007/s13539-010-0016-0
, Human body composition: in vivo methods, Physiol Rev, vol.80, pp.649-680, 2000.
DOI : 10.1007/978-1-4899-1268-8
, Assessment methods in human body composition, Current Opinion in Clinical Nutrition and Metabolic Care, vol.11, issue.5, pp.566-572, 2008.
DOI : 10.1097/MCO.0b013e32830b5f23
, Body composition in white adults by dual-energy X-ray absorptiometry, densitometry, and total body water, Am J Clin Nutr, vol.59, pp.547-555, 1994.
, Dual-energy X-ray absorptiometry and body composition, Current Opinion in Clinical Nutrition and Metabolic Care, vol.8, issue.3, pp.305-309, 2005.
DOI : 10.1097/01.mco.0000165010.31826.3d
, Dual-energy X-ray absorptiometry, Human Body Composition, pp.63-78, 2005.
, Advances in Body Composition Assessment, Medicine & Science in Sports & Exercise, vol.25, issue.6, 1992.
DOI : 10.1249/00005768-199306000-00021
, Age-related differences in fat-free mass, skeletal muscle, body cell mass and fat mass between 18 and 94 years, European Journal of Clinical Nutrition, vol.55, issue.8, pp.663-672, 2001.
DOI : 10.1038/sj.ejcn.1601198
, Age-related changes in total and regional fat distribution, Ageing Research Reviews, vol.8, issue.4, pp.339-348, 2009.
DOI : 10.1016/j.arr.2009.06.001
, Predictors of skeletal muscle mass in elderly men and women, Mechanisms of Ageing and Development, vol.107, issue.2, pp.123-136, 1999.
DOI : 10.1016/S0047-6374(98)00130-4
, Epidemiology of Sarcopenia among the Elderly in New Mexico, American Journal of Epidemiology, vol.147, issue.8, pp.755-763, 1998.
DOI : 10.1093/oxfordjournals.aje.a009520
, Sarcopenia, Journal of Laboratory and Clinical Medicine, vol.137, issue.4, pp.231-243, 2001.
DOI : 10.1067/mlc.2001.113504
, Origins and Clinical Relevance of Sarcopenia, Canadian Journal of Applied Physiology, vol.26, issue.1, pp.78-89, 2001.
DOI : 10.1139/h01-006
, Abdominal Obesity and Dyslipidemia in the Metabolic Syndrome: Importance of Type 2 Diabetes and Familial Combined Hyperlipidemia in Coronary Artery Disease Risk, The Journal of Clinical Endocrinology & Metabolism, vol.89, issue.6, pp.2601-2607, 2004.
DOI : 10.1210/jc.2004-0432
, Abdominal adipose tissue distribution, obesity, and risk of cardiovascular disease and death: 13 year follow up of participants in the study of men born in 1913., BMJ, vol.288, issue.6428, pp.1401-1404, 1984.
DOI : 10.1136/bmj.288.6428.1401
, Distribution of adipose tissue and risk of cardiovascular disease and death: a 12 year follow up of participants in the population study of women in Gothenburg, Sweden., BMJ, vol.289, issue.6454, pp.1257-1261, 1984.
DOI : 10.1136/bmj.289.6454.1257
, The pattern of subcutaneous fat distribution in middle-aged men and the risk of coronary heart disease: the Paris Prospective Study, Int J Obes, vol.10, pp.229-240, 1986.
, Relation of Body Fat Distribution to Metabolic Complications of Obesity*, The Journal of Clinical Endocrinology & Metabolism, vol.54, issue.2, pp.254-260, 1982.
DOI : 10.1210/jcem-54-2-254
, Relationships of generalized and regional adiposity to insulin sensitivity in men., Journal of Clinical Investigation, vol.96, issue.1, pp.88-98, 1995.
DOI : 10.1172/JCI118083
, Ethnic differences in body composition and the associated metabolic profile: A comparative study between Asians and Caucasians, Maturitas, vol.65, issue.4, pp.315-319, 2010.
DOI : 10.1016/j.maturitas.2009.12.012
, Influences of Physical and Social Neighborhood Environments on Children's Physical Activity and Obesity, American Journal of Public Health, vol.99, issue.2, pp.271-278, 2009.
DOI : 10.2105/AJPH.2007.128702
, The Public Health Impact of Obesity, Annual Review of Public Health, vol.22, issue.1, pp.355-375, 2001.
DOI : 10.1146/annurev.publhealth.22.1.355
, Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index, Am J Clin Nutr, vol.72, pp.694-701, 2000.
, A multivariate modeling for predicting segmental body composition, Bri J Nutr, pp.1-11, 2013.
, Effects of birth cohort and age on body composition in a sample of community-based elderly, Am J Clin Nutr, vol.85, pp.405-410, 2007.
, Heights of Europeans since 1750: A New Source for European Economic History. Stature, living Standards, and Economic Development: Essays in Anthropometric History, pp.9-24, 1994.
, Stature and the Standard of Living, J Eco Literature, vol.33, 1903.
, Body composition predicted with a Bayesian network from simple variables, British Journal of Nutrition, vol.11, issue.08, pp.1265-1271, 2011.
DOI : 10.1017/S0007114509325738
, Fat-Free Mass Predictions through a Bayesian Network Enable Body Composition Comparisons in Various Populations, Journal of Nutrition, vol.141, issue.8, pp.573-580, 2011.
DOI : 10.3945/jn.111.137935
, National Health and Nutrition Examination Survey: body composition procedures manual Available from
, The 1999-2004 dual energy X-ray absorptiometry (DXA) multiple imputation data files and technical documentation Available from
, Dual-energy x-ray absorptiometry for total body and regional bone mineral and soft tissue composition, Am J Clin Nutr, vol.51, pp.1106-1112, 1990.
, Skeletal muscle mass: evaluation of neutron activation and dual-energy X-ray absorptiometry methods, J Appl Physiol, vol.80, pp.824-831, 1996.
, Five year changes in waist circumference, body mass index and obesity in Augsburg, Germany, European Journal of Nutrition, vol.40, issue.6, pp.282-288, 2001.
DOI : 10.1007/s394-001-8357-0
, Trends in Waist Circumference among U.S. Adults, Obesity Research, vol.58, issue.Suppl 4, pp.1223-1231, 2003.
DOI : 10.1038/oby.2003.168
, Consequences of change in waist circumference on cardiometabolic risk factors over 9 years, Diabetes Care, vol.30, 1901.
URL : https://hal.archives-ouvertes.fr/inserm-00141337
, R: A language and environment for statistical computing Vienna: R Foundation for Statistical Computing, 2006.
, Aging, body composition, and lifestyle: the Fels Longitudinal Study, Am J Clin Nutr, vol.70, pp.405-411, 1999.
, Body composition variation in ageing, Collegim Antropologicum, vol.35, pp.259-265, 2011.
, An evaluation of patterns of change in total and regional body fat mass in healthy Spanish subjects using dual-energy X-ray absorptiometry (DXA), European Journal of Clinical Nutrition, vol.30, issue.12, pp.1440-1448, 2007.
DOI : 10.1038/sj.ejcn.1602883
, The interrelationship between body topology and body composition varies with age among women, J Nutr, vol.130, pp.2371-2377, 2000.
, Body composition estimates from NHANES III bioelectrical impedance data, International Journal of Obesity, vol.26, issue.12, pp.1596-1609, 2002.
DOI : 10.1038/sj.ijo.0802167
URL : https://naldc.nal.usda.gov/naldc/download.xhtml?id=47244&content=PDF
, Lifestyle factors associated with age-related differences in body composition: the Florey Adelaide Male Aging Study, Am J Clin Nutr, vol.88, pp.95-104, 2008.
, Longitudinal changes in body composition in older men and women: role of body weight change and physical activity, Am J Clin Nutr, vol.76, pp.473-481, 2002.
, Eight-Year Longitudinal Changes in Body Composition in Healthy Swiss Adults, Journal of the American College of Nutrition, vol.64, issue.6, pp.493-501, 2006.
DOI : 10.1080/07315724.2006.10719564
, Abdominal Adiposity and Clustering of Multiple Metabolic Syndrome in White, Black and Hispanic Americans, Annals of Epidemiology, vol.10, issue.5, pp.263-270, 2000.
DOI : 10.1016/S1047-2797(00)00045-4
, Truncal fat in relation to total body fat: influences of age, sex, ethnicity and fatness, International Journal of Obesity, vol.363, issue.9, pp.1384-1391, 2007.
DOI : 10.1038/sj.ijo.0803624
, Total and regional body composition across age in healthy Hispanic and white women of similar socioeconomic status, Am J Clin Nutr, vol.73, pp.13-18, 2001.
, Is percentage body fat differentially related to body mass index in Hispanic American, African Americans, and European Americans?, Am J Clini Nutri, vol.77, pp.71-75, 2003.
, Elderly Mexicans have less muscle and greater total and truncal fat compared to African-Americans and Caucasians with the same BMI, The journal of nutrition, health & aging, vol.12, issue.10, pp.919-923, 2009.
DOI : 10.1007/s12603-009-0252-1
, A hybrid methodology for learning belief networks: BENEDICT, International Journal of Approximate Reasoning, vol.27, issue.3, pp.235-262, 2001.
DOI : 10.1016/S0888-613X(01)00041-X
, Searching for Bayesian network structures in the space of restricted acyclic partially directed graphs, J. Artif. Intell. Res.(JAIR), vol.18, pp.445-490, 2003.
, A new look at the statistical model identification. Automatic Control, IEEE Transactions on, vol.19, issue.6, pp.716-723, 1974.
, Elderly Mexicans have less muscle and greater total and truncal fat compared to African-Americans and Caucasians with the same BMI. The journal of nutrition, health & aging, issue.10, pp.13-919, 2009.
, HITON: a novel Markov Blanket algorithm for optimal variable selection, AMIA Annual Symposium Proceedings, p.21, 2003.
, An introduction to multivariate statistical analysis, 2003.
, Locally Weighted Learning, Artificial intelligence review, vol.11, issue.15, pp.11-73, 1997.
DOI : 10.1007/978-94-017-2053-3_2
, Efficient identification of independence networks using mutual information, Computational Statistics, vol.65, issue.1, pp.621-646, 2013.
DOI : 10.1007/s00180-012-0320-6
, Digraphs: Theory, Algorithms and Applications, 2009.
DOI : 10.1007/978-1-84800-998-1
, The assessment of body composition in health and disease, Journal of Human Ecology Spe, Special Issue, issue.14, pp.21-25, 2006.
, Physiologic studies pertaining to deep sea diving and aviation, especially in relation to the fat content and composition of the body: the Harvey lecture, Bulletin of the New York Academy of Medicine, vol.18, issue.9, p.561, 1942.
, Prediction of anterior scoliotic spinal curve from trunk surface using support vector regression, Engineering Applications of Artificial Intelligence, vol.18, issue.8, pp.973-983, 2005.
DOI : 10.1016/j.engappai.2005.03.006
, External validation is necessary in prediction research:, Journal of Clinical Epidemiology, vol.56, issue.9, pp.56-826, 2003.
DOI : 10.1016/S0895-4356(03)00207-5
, Bayesian belief networks: from construction to inference, 1995.
, Convex optimization, 2004.
, The Evaluation of Leanness-Fatness in Man: Norms and Interrelationships, British Journal of Nutrition, vol.3, issue.02, pp.194-206, 1951.
DOI : 10.1079/BJN19510025
, A tutorial on support vector machines for pattern recognition, Data Mining and Knowledge Discovery, vol.2, issue.2, pp.121-167, 1998.
DOI : 10.1023/A:1009715923555
, Lognormal Distributions for Body Weight as a Function of Age for Males and Females in the United States, 1976-1980, Risk Analysis, vol.12, issue.2, pp.499-505, 1976.
DOI : 10.1111/j.1539-6924.1997.tb00890.x
, Overweight, obesity, and mortality from cancer in a prospectively studied cohort of US adults, New England Journal of Medicine, issue.17, pp.348-1625, 2003.
, Sélection bayésienne de variables en régression linéaire, Journal de la Société Française de Statistique, pp.59-79, 2006.
, Waist circumference, waist-to-hip ratio and body mass index as predictors of adipose tissue compartments in men, QJM, vol.96, issue.6, pp.96-441, 2003.
DOI : 10.1093/qjmed/hcg069
, -Support Vector Regression: Theory and Algorithms, Neural Computation, vol.14, issue.8, pp.1959-1977, 2002.
DOI : 10.1162/089976600300015565
URL : https://hal.archives-ouvertes.fr/hal-01010064
, Learning Bayesian networks: Search methods and experimental results, Fifth International Workshop on Artificial Intelligence and Statistics, pp.112-128, 1995.
, Optimal structure identification with greedy search, The Journal of Machine Learning Research, vol.3, pp.507-554, 2003.
, Body composition estimates from NHANES III bioelectrical impedance data, International Journal of Obesity, vol.26, issue.12, pp.26-1596, 2002.
DOI : 10.1038/sj.ijo.0802167
URL : https://naldc.nal.usda.gov/naldc/download.xhtml?id=47244&content=PDF
, Assessment and Prevalence of Obesity: Application of New Methods to a Major Problem, Endocrine, vol.13, issue.2, p.135, 2000.
DOI : 10.1385/ENDO:13:2:135
, Weight Gain as a Risk Factor for Clinical Diabetes Mellitus in Women, Annals of Internal Medicine, vol.122, issue.7, pp.122-481, 1995.
DOI : 10.7326/0003-4819-122-7-199504010-00001
, Physical status: the use and interpretation of anthropometry, 1995.
, The computational complexity of probabilistic inference using bayesian belief networks, Artificial Intelligence, vol.42, issue.2-3, pp.393-405, 1990.
DOI : 10.1016/0004-3702(90)90060-D
, A Bayesian method for the induction of probabilistic networks from data, Machine Learning, vol.72, issue.4, pp.309-347, 1992.
DOI : 10.1007/BF00994110
, How Good Are the Bayesian Information Criterion and the Minimum Description Length Principle for Model Selection? A Bayesian Network Analysis, MICAI 2006: Advances in Artificial Intelligence, pp.494-504, 2006.
DOI : 10.1007/11925231_46
, The igraph software package for complex network research, p.1695, 2006.
, Learning Bayesian networks: approaches and issues. The knowledge Engineering Review, pp.99-157, 2011.
DOI : 10.1017/s0269888910000251
, Properties of Bayesian Dirichlet scores to learn Bayesian network structures, Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010.
, Ant colony optimization for learning Bayesian networks, International Journal of Approximate Reasoning, vol.31, issue.3, pp.31-291, 2002.
DOI : 10.1016/S0888-613X(02)00091-9
, Waist circumference and waist-to-hip ratio as predictors of cardiovascular events: meta-regression analysis of prospective studies, European Heart Journal, vol.28, issue.7, pp.28-850, 2007.
DOI : 10.1093/eurheartj/ehm026
, Asymptotic Confidence Regions for Biadditive Models: Interpreting Genotype- Environment Interactions, Applied Statistics, vol.45, issue.4, pp.479-493, 1996.
DOI : 10.2307/2986069
, A comparative evaluation of waist circumference, waist-to-hip ratio and body mass index as indicators of cardiovascular risk factors. The Canadian Heart Health Surveys, International Journal of Obesity, vol.25, issue.5, pp.652-661, 2001.
DOI : 10.1038/sj.ijo.0801582
, Selected major risk factors and global and regional burden of disease, The Lancet, vol.360, issue.9343, pp.360-1347, 2002.
DOI : 10.1016/S0140-6736(02)11403-6
, Multivariate Statistical Modelling based on Generalized Linear Models, 1994.
, Data Splitting Strategies for Reducing the Effect of Model Selection on Inference, 1995.
, Moving local regression: The weight function, Journal of Nonparametric Statistics, vol.17, issue.4, pp.355-368, 1993.
DOI : 10.1002/0471725218
, Association between socioeconomic status and adiposity in urban Cameroon, International Journal of Epidemiology, vol.35, issue.1, pp.105-111, 2006.
DOI : 10.1093/ije/dyi214
URL : https://hal.archives-ouvertes.fr/inserm-00128648
, Heights of Europeans since 1750: ANewSource for EuropeanEconomicHistory. Stature, Living Standards, and Economic Development: Essays in Anthropometric History, pp.9-24, 1994.
, Trends in waist circumference among US adults, Obesity, issue.10, pp.11-1223, 2003.
, Heteroskedasticity and Structural Models for Variances, Jour. Ind. Soc. Ag. Slatistics, vol.57, pp.64-70, 2004.
, Relationship of Childhood Obesity to Coronary Heart Disease Risk Factors in Adulthood: The Bogalusa Heart Study, PEDIATRICS, vol.108, issue.3, pp.712-718, 2001.
DOI : 10.1542/peds.108.3.712
, Identifying Markov blankets with decision tree induction, Third IEEE International Conference on Data Mining, pp.59-66, 2003.
DOI : 10.1109/ICDM.2003.1250903
, Sparse inverse covariance estimation with the graphical lasso, Biostatistics, vol.9, issue.3, pp.432-441, 2007.
DOI : 10.1093/biostatistics/kxm045
, Tradeoff Analysis of Different Markov Blanket Local Learning Approaches, pp.562-571, 2008.
DOI : 10.1007/978-3-540-68125-0_51
, Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index, The American Journal of Clinical Nutrition, issue.3, pp.72-694, 2000.
, Weight stability masks sarcopenia in elderly men and women, American Journal of Physiology-Endocrinology And Metabolism, vol.279, issue.2, pp.366-375, 2000.
, How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups? American journal of epidemiology, p.228, 1996.
, Estimating Actual Height in the Older Individual, Journal of Forensic Sciences, vol.33, issue.1, pp.126-136, 1988.
DOI : 10.1520/JFS12443J
, Mean field method for the support vector machine regression, Neurocomputing, vol.50, pp.391-405, 2003.
DOI : 10.1016/S0925-2312(02)00573-8
, An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning, Machine Learning and Knowledge Discovery in Databases, vol.7523, pp.58-73, 2012.
DOI : 10.1007/978-3-642-33460-3_9
URL : https://hal.archives-ouvertes.fr/hal-01122771
, Tabu Search???Part I, ORSA Journal on Computing, vol.1, issue.3, pp.190-206, 1989.
DOI : 10.1287/ijoc.1.3.190
, Theory and application of the linear model, 1976.
, Support vector machines for classification and regression, 1998.
, Aging, body composition, and lifestyle: the Fels Longitudinal Study, The American journal of clinical nutrition, vol.70, issue.3, pp.405-411, 1999.
, Model Selection and the Principle of Minimum Description Length, Journal of the American Statistical Association, vol.96, issue.454, pp.96-746, 2001.
DOI : 10.1198/016214501753168398
, The elements of statistical learning: data mining, inference, and prediction, 2009.
, A tutorial on learning with Bayesian networks, Nato Asi Series D Behavioural And Social Sciences, vol.89, pp.301-354, 1998.
, Learning Bayesian networks: The combination of knowledge and statistical data, Machine learning, vol.20, issue.3, pp.197-243, 1995.
, The SU. VI. MAX Study: a randomized, placebo-controlled trial of the health effects of antioxidant vitamins and minerals, Archives of internal medicine, issue.21, pp.164-2335, 2004.
URL : https://hal.archives-ouvertes.fr/hal-01346671
, Applied Body Composition Assessment, 1996.
, Kernel methods in machine learning. The Annals of Statistics, pp.1171-1220, 2008.
, Waist/Height Ratio as A Simple and Useful Predictor of Coronary Heart Disease Risk Factors in Women., Internal Medicine, vol.34, issue.12, pp.34-1147, 1995.
DOI : 10.2169/internalmedicine.34.1147
, Anthropometric assessment of 10-y changes in body composition in the elderly, The American journal of clinical nutrition, vol.80, issue.2, pp.475-482, 2004.
, Another look at measures of forecast accuracy, International Journal of Forecasting, vol.22, issue.4, pp.679-688, 2006.
DOI : 10.1016/j.ijforecast.2006.03.001
, Body mass index as a surrogate measure of cardiovascular risk factor clustering in fifth-grade children: Results from the coronary artery risk detection in the Appalachian Communities Project, International Journal of Pediatric Obesity, vol.4, issue.4, pp.316-324, 2009.
DOI : 10.3109/17477160802596197
, Applications of Support Vector Machines in Chemistry, Reviews in Computational Chemistry, vol.23, pp.291-400, 2007.
DOI : 10.1002/9780470116449.ch6
, The effect of sex, age and race on estimating percentage body fat from body mass index: The Heritage Family Study, International Journal of Obesity, vol.26, issue.6, pp.789-796, 2002.
, Research design and analysis of data procedures for predicting body density, Medicine & Science in Sports & Exercise, vol.16, issue.6, pp.616-620, 1984.
DOI : 10.1249/00005768-198412000-00018
, Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat, The American Journal of Clinical Nutrition, vol.75, issue.4, pp.683-688, 2002.
, Bayesian networks and decision graphs, 2007.
DOI : 10.1007/978-0-387-68282-2
, An introduction to Bayesian networks, 1996.
, Factors influencing variation in basal metabolic rate include fat-free mass, fat mass, age, and circulating thyroxine but not sex, circulating leptin, or triiodothyronine, The American journal of clinical nutrition, vol.82, issue.5, pp.941-948, 2005.
, Assessing the Generalizability of Prognostic Information, Annals of Internal Medicine, vol.130, issue.6, pp.515-524, 1999.
DOI : 10.7326/0003-4819-130-6-199903160-00016
, Causal Inference Using Graphical Models with the R Package pcalg, Journal of Statistical Software, issue.11, pp.47-48, 2012.
, Body fat in adult man, Physiological Reviews, vol.33, issue.3, pp.245-325, 1953.
, Indices of relative weight and obesity, Journal of chronic diseases, issue.6, pp.25-329, 1972.
, An analysis of current saturation mechanism of junction field-effect transistors, IEEE Transactions on Electron Devices, vol.17, issue.2, pp.120-132, 1987.
DOI : 10.1109/T-ED.1970.16936
, Simple anthropometric indexes and cardiovascular risk factors in Chinese, International Journal of Obesity, vol.21, issue.11, pp.995-1001, 1997.
DOI : 10.1038/sj.ijo.0800508
, Probabilistic Graphical Models: Principles and Techniques, 2009.
, Toward Optimal Feature Selection, Proceedings of 13th conference on machine learning, pp.3-6, 1996.
, Bayesian Artificial Intelligence, 2011.
DOI : 10.1201/9780203491294
, Age-related changes in total and regional fat distribution, Ageing Research Reviews, vol.8, issue.4, p.339, 2009.
DOI : 10.1016/j.arr.2009.06.001
, Bioelectrical impedance analysis?part I: review of principles and methods, Clinical Nutrition, vol.23, issue.5, pp.1226-1243, 2004.
DOI : 10.1016/j.clnu.2004.06.004
, Agerelated differences in fat-free mass, skeletal muscle, body cell mass and fat mass between 18 and 94 years, European journal of clinical nutrition, issue.8, pp.55-663, 2001.
, Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. The Lancet, pp.1083-1096, 2009.
, Structure Learning of Bayesian Networks by Genetic Algorithms, IEEE Transactions on, vol.18, issue.9, pp.912-926, 1996.
DOI : 10.1007/978-3-642-51175-2_35
, Local computations with probabilities on graphical structures and their application to expert systems, Journal of the Royal Statistical Society. Series B, pp.157-224, 1988.
, Reproducibility of DXA measurements of bone mineral density and body composition in children, Pediatric Radiology, vol.104, issue.2, pp.148-154, 2009.
DOI : 10.1007/s00247-008-1067-7
, Réseaux bayésiens : apprentissage et modélisation de systèmes complexes, 2006.
, Physiological models of body composition and human obesity, Nutrition & Metabolism, vol.4, issue.1, pp.19-32, 2007.
DOI : 10.1186/1743-7075-4-19
, Seven-year trends in body weight and associations with lifestyle and behavioral characteristics in black and white young adults: the CARDIA study., American Journal of Public Health, vol.87, issue.4, pp.635-642, 1997.
DOI : 10.2105/AJPH.87.4.635
, Fuzzy support vector machines, Neural Networks IEEE Transactions on, vol.13, issue.2, pp.464-471, 2002.
, Human body composition, chapter Dual-Energy X-Ray Absorptiometry, Human Kinetics, pp.63-77, 2005.
, The bugs Book. A practical introduction to Bayesian analysis, 2013.
, Robust linear and support vector regression. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.22, issue.9, pp.950-955, 2000.
, Learning Bayesian network model structure from data, 2003.
, Bayesian network induction via local neighborhoods, Proceedings of the Neural Information Processing Systems 12, pp.505-511, 1999.
, Socioeconomic Status and Obesity, Epidemiologic Reviews, vol.29, issue.1, pp.29-48, 2007.
DOI : 10.1093/epirev/mxm001
, Subset selection in regression, Boca Raton: Chapman & Hall / CRC, 2002.
, Body composition predicted with a Bayesian network from simple variables, British Journal of Nutrition, vol.11, issue.08, pp.1265-1271, 2011.
DOI : 10.1017/S0007114509325738
, Fat-Free Mass Predictions through a Bayesian Network Enable Body Composition Comparisons in Various Populations, Journal of Nutrition, vol.141, issue.8, pp.1573-1580, 2011.
DOI : 10.3945/jn.111.137935
, Real-valued all-dimensions search: Low-overhead rapid searching over subsets of attributes, Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence, pp.360-369, 2002.
, Optimal reinsertion: A new search operator for accelerated and more accurate Bayesian network structure learning, ICML, pp.552-559, 2003.
, Adjustment of age-related height decline for Chinese?a 'natural experiment'longitudinal survey using archival data, Economic History Society Annual Conference, pp.26-28, 2010.
, Dynamic Bayesian Networks: Representation, Inference and Learning, 2002.
, A note on a general definition of the coefficient of determination, Biometrika, vol.78, issue.3, pp.691-692, 1991.
DOI : 10.1093/biomet/78.3.691
, Learning Bayesian Networks, 2004.
DOI : 10.1016/B978-012370477-1.50021-9
, On local optima in learning Bayesian networks, Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence, pp.435-442, 2002.
, Ethnic and age-related fat free mass loss in older Americans: The Third National Health and Nutrition Examination Survey (NHANES III), BMC Public Health, vol.5, issue.1, p.41, 2005.
DOI : 10.1016/S0899-9007(97)00474-7
, Abdominal Adiposity and Clustering of Multiple Metabolic Syndrome in White, Black and Hispanic Americans, Annals of Epidemiology, vol.10, issue.5, pp.263-270, 2000.
DOI : 10.1016/S1047-2797(00)00045-4
, Probabilistic reasoning in intelligent systems: networks of plausible inference, 1988.
, Causality: Models, Reasoning and Inference, 2009.
DOI : 10.1017/CBO9780511803161
, Towards scalable and data efficient learning of Markov boundaries, International Journal of Approximate Reasoning, vol.45, issue.2, pp.211-232, 2007.
DOI : 10.1016/j.ijar.2006.06.008
, Body Weight Distributions for Risk Assessment, Risk Analysis, vol.15, issue.2, pp.11-26, 2007.
DOI : 10.1001/jama.286.22.2845
, Waist circumference and abdominal sagittal diameter: Best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women, The American Journal of Cardiology, vol.73, issue.7, pp.73-460, 1994.
DOI : 10.1016/0002-9149(94)90676-9
, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2009.
, A 3-year longitudinal study on body composition changes in the elderly: Role of physical exercise, Clinical Nutrition, vol.25, issue.4, pp.573-580, 2006.
DOI : 10.1016/j.clnu.2005.10.013
, Cancer incidence and mortality in relation to body mass index in the Million Women Study: cohort study, BMJ, vol.335, issue.7630, pp.335-1134, 2007.
DOI : 10.1136/bmj.39367.495995.AE
, Modeling by shortest data description, Automatica, vol.14, issue.5, pp.465-471, 1978.
DOI : 10.1016/0005-1098(78)90005-5
, Use of dual-energy x-ray absorptiometry in body-composition studies: not yet a " gold standard, American Journal of Clinical Nutrition, issue.5, pp.58-589, 1993.
, Artificial Intelligence: A Modern Approach, 2009.
, New Support Vector Algorithms, Neural Computation, vol.20, issue.5, pp.1207-1245, 2000.
DOI : 10.1016/S0893-6080(98)00032-X
, Estimating the dimension of a model. The annals of statistics, pp.461-464, 1978.
, Learning Bayesian Networks with the bnlearn R Package, Journal of Statistical Software, vol.35, issue.3, pp.1-22, 2010.
, Algorithms, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00074300
, An Algorithm for the Construction of Bayesian Network Structures from Data, pp.259-265, 1993.
DOI : 10.1016/B978-1-4832-1451-1.50036-6
, A tutorial on support vector regression, Statistics and Computing, vol.14, issue.3, pp.199-222, 2004.
DOI : 10.1023/B:STCO.0000035301.49549.88
, What aspects of body fat are particularly hazardous and how do we measure them?, International Journal of Epidemiology, vol.35, issue.1, p.83, 2006.
DOI : 10.1093/ije/dyi253
, Trunk Fat and Leg Fat Have Independent and Opposite Associations With Fasting and Postload Glucose Levels: The Hoorn Study, Diabetes Care, vol.27, issue.2, pp.372-377, 2004.
DOI : 10.2337/diacare.27.2.372
, Socioeconomic status and obesity: A review of the literature., Psychological Bulletin, vol.105, issue.2, p.260, 1989.
DOI : 10.1037/0033-2909.105.2.260
, Longitudinal Change in Height of Men and Women: Implications for Interpretation of the Body Mass Index: The Baltimore Longitudinal Study of Aging, American Journal of Epidemiology, vol.150, issue.9, pp.969-977, 1999.
DOI : 10.1093/oxfordjournals.aje.a010106
, Causation Prediction & Search 2e, p.81, 2000.
, Application of mahalanobis distance as a lean assessment metric, The International Journal of Advanced Manufacturing Technology, vol.29, issue.11-12, pp.29-1159, 2006.
DOI : 10.1007/s00170-005-0004-2
, Stature and the Standard of Living, Journal of Economic Literature, vol.33, issue.4, pp.1903-1940, 1995.
, Associations between gender, age and waist circumference, European Journal of Clinical Nutrition, vol.15, issue.1, pp.6-15, 2010.
DOI : 10.1038/sj.ijo.0803005
, Internal validation of predictive models, Journal of Clinical Epidemiology, vol.54, issue.8, pp.54-774, 2001.
DOI : 10.1016/S0895-4356(01)00341-9
, Cross-validatory choice and assessment of statistical predictions, Journal of the Royal Statistical Society. Series B (Methodological), pp.111-147, 1974.
, Human body composition, chapter Statistical methods, Human Kinetics, pp.151-160, 2005.
, Comparing support vector machines to PLS for spectral regression applications, Chemometrics and Intelligent Laboratory Systems, vol.73, issue.2, pp.169-179, 2004.
DOI : 10.1016/j.chemolab.2004.01.002
, A multivariate model for predicting segmental body composition, British Journal of Nutrition, vol.59, issue.12, pp.1-11, 2013.
DOI : 10.1007/s13539-010-0016-0
, Applied Multivariate Analysis, 2002.
DOI : 10.1007/b98963
, Time and sample efficient discovery of Markov blankets and direct causal relations, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.673-678, 2003.
DOI : 10.1145/956750.956838
, Algorithms for large scale Markov blanket discovery, Proceedings of the 16th international Florida artificial intelligence research society conference, pp.376-381, 2003.
, The max-min hill-climbing Bayesian network structure learning algorithm, Machine Learning, vol.9, issue.2/3, pp.31-78, 2006.
DOI : 10.1007/s10994-006-6889-7
, Contributions of total and regional fat mass to risk for cardiovascular disease in older women, American Journal of Physiology - Endocrinology And Metabolism, vol.282, issue.5, pp.1023-1028, 2002.
DOI : 10.1152/ajpendo.00467.2001
, Height-normalized indices of the body's fat-free mass and fat mass: potentially useful indicators of nutritional status, The American journal of clinical nutrition, issue.6, pp.52-953, 1990.
, Statistical learning theory, 1998.
, The nature of statistical learning theory, 2000.
, Support vector method for function approximation , regression estimation, and signal processing Advances in neural information processing systems, pp.281-287, 1997.
, Equivalence and synthesis of causal models, Uncertainty in Artificial Intelligence, vol.6, issue.6, pp.255-268, 1991.
, One- and two-year change in body composition as measured by DXA in a population-based cohort of older men and women, Journal of Applied Physiology, vol.94, issue.6, pp.94-2368, 2003.
DOI : 10.1152/japplphysiol.00124.2002
, Insight of a fuzzy regression model. Fuzzy Sets and Systems, pp.355-369, 2000.
, All of statistics: a concise course in statistical inference, 2004.
DOI : 10.1007/978-0-387-21736-9
, Waist Circumference as the Best Predictor of Noninsulin Dependent Diabetes Mellitus (NIDDM) Compared to Body Mass Index, Waist/hip Ratio and Other Anthropometric Measurements in Mexican Americans-A 7-Year Prospective Study, Obesity Research, vol.13, issue.suppl.2, pp.16-23, 1997.
DOI : 10.1002/j.1550-8528.1997.tb00278.x
, Graphical Models in Applied Multivariate Statistics, 1990.
, Socioeconomic status and health: how education, income, and occupation contribute to risk factors for cardiovascular disease., American Journal of Public Health, vol.82, issue.6, pp.816-820, 1992.
DOI : 10.2105/AJPH.82.6.816
, Data mining of Bayesian networks using cooperative coevolution, Decision Support Systems, vol.38, issue.3, pp.451-472, 2004.
DOI : 10.1016/S0167-9236(03)00115-5
, Truncal fat in relation to total body fat: influences of age, sex, ethnicity and fatness, International Journal of Obesity, vol.363, issue.9, pp.31-1384, 2007.
DOI : 10.1038/sj.ijo.0803624
, Fuzzy support vector regression model for the calculation of the collapse moment for wall-thinned pipes. Nuclear engineering and technology, pp.607-614, 2008.
, Speculative Markov Blanket Discovery for Optimal Feature Selection, Fifth IEEE International Conference on Data Mining (ICDM'05), pp.809-812, 2005.
DOI : 10.1109/ICDM.2005.134
, Unbundling Education: A Critical Discussion of What Education Confers and How It Lowers Risk for Disease and Death, Annals of the New York Academy of Sciences, vol.17, issue.1, pp.350-351, 1999.
DOI : 10.1111/j.1749-6632.1999.tb08138.x