Dr. Michael Evans
Michael Evans is a Professor of Statistics at the University of Toronto. He received his Ph.D. from the University of Toronto in 1977 and has been employed there ever since with leaves spent at Stanford University and Carnegie Mellon University. He is a Fellow of the American Statistical Association, has served as an Associate Editor of JASA Theory and Methods 1991-2005, an Associate Editor of the Canadian Journal of Statistics 1999-2006, 2017-present, an Associate Editor of the journal Bayesian Analysis 2005-2015 and an Editor 2015-present and is a subject matter Editor for the online journal FACETS. He served as President of the Statistical Society of Canada 2013-2014. His research has been concerned with multivariate statistical methodology, computational statistics, and the foundations of statistics. A current focus of research is the development of a theory of inference based upon an explicit definition of how to measure statistical evidence and the development of tools to deal with criticisms of statistical methodology associated with its inherent subjectivity. He has authored, or coauthored, numerous research papers as well as the books Approximating Integrals via Monte Carlo and Deterministic Methods (with T. Swartz) published by Oxford in 2000, Probability and Statistics: The Science of Uncertainty (with J. Rosenthal) published by W.H. Freeman in 2004 and 2010 and Measuring Statistical Evidence Using Relative Belief published by CRC Press/ Chapman and Hall in 2015.
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