Dr Yves Berger BSc, MSc, PhD
Associate Professor in Social Statistics, Departmental Examinations Officer
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Associate professor in Social Statistics, my research focuses on foundations of statistical inference from complex sample surveys.
Yves established a world-class research related to fundamental issues of statistical inference from complex sample surveys. These issues include: variance estimation; repeated surveys; non-response; imputation; inference for complex parameters (empirical likelihood). His publications include articles in the Journals of the Royal Statistical Society (Series A, B and C), Biometrika and the Canadian Journal of Statistics.
Yves has taught a wide range of courses at undergraduate and postgraduate levels: statistical modelling, generalised linear models, sample survey theory, nonresponse adjustment, multivariate analysis, multilevel models, longitudinal data and repeated measures, statistical computing, communication and research skills, generalised linear models, computer intensive statistical methods, statistical consulting and demography.
For more information visit Yves Berger's website