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Michael Evans is a Professor in the Department of Statistical Sciences at the University of Toronto. His research primarily focuses on the theory of statistical inference and its applications in resolving various statistical issues. He aims to define how statistical evidence is measured and develop methodologies to address the subjective choices involved in statistical elicitation. His work addresses inherent biases and emphasizes the importance of model checking and resolving prior-data conflicts. With a comprehensive educational background, Evans holds a PhD from the University of Toronto and a BSc from the University of Western Ontario. He has significantly contributed to the field of statistical computing and theoretical statistics, gaining recognition as a Fellow of the American Statistical Association. His cross-appointments include the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough and the Biostatistics Division of the Dalla Lana School of Public Health.
Department of Sociology