
Advanced Statistical Methods in Data Science
Description
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Reviews / Votes
"This handbook has a good collection of material on useful and interesting topics on data science. The book will be useful to graduate students and researchers interested in gaining perspectives and knowledge on this useful topic. The book comprises a wealth of information, a one-stop shopping, and can be served as a research reference book." (Technometrics, Vol. 59 (2), April, 2017)More details
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Persons
Professor Jiahua Chen is a Canada Research Chair, Tier I at the Department of Statistics, University of British Columbia. He has made important and fundamental research contributions to the theory and application of mixture models, empirical likelihood, variable select, the theory of sampling and the design of experiments. He has published over 100 research papers. He is the elected fellow of the Institute of Mathematical Statistics and the American Statistical Association. He was the recipient of the Gold Medal of the Statistical Society of Canada in 2014.
Xuewen Lu is Professor of Statistics at the University of Calgary. His broad research interest lies in the areas of biostatistics, predictive microbiology models, survival analysis, theory of semiparametric models, high-dimensional data analysis, statistical computing, and applications of statistical methods in biological and medical sciences. He has published more than 80 research papers in both theoretical statistical and applied scientific journals, and co-edited a book on modeling microbial responses in food. He has served on the editorial boards for several statistical journals.
Grace Y. Yi is Professor of Statistics and University Research Chair at the University of Waterloo. Her broad research interests include measurement error models, missing data problems, high dimensional data analysis, survival data and longitudinal data analysis, estimating function and likelihood methods, and medical applications. Grace Y. Yi is a Fellow of the American Statistical Association, and an Elected Member of the International Statistical Institute. She is the editor of the CanadianJournal of Statistics (2016-2018). She is President of Biostatisitcs Section of Statistical Society of Canada in 2016, and the Founder and President of the first chapter (Canada Chapter) of International Chinese Statistical Association.
Hao Yu is a Professor of Statistical and Actuarial Sciences at the University of Western Ontario. His primary specializations are in the fields of Stochastic Process Modeling, Nonlinear Time Series, High Performance Statistical Computing and Applications of Parallel Computation. Yu's research in high performance computing includes the development of Rmpi package for R, which allows parallel computing running on the high level statistical software R. He was President of Probability Section of Statistical Society of Canada from 2011 to 2012.
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