Michael John Evans Author of Evaluating Organization Development

Michael John Evans

University of Toronto

The primary purpose of a theory of statistics is to provide a logical method of reasoning in statistical contexts. If a theory doesn't do this, then it is a failure. Failure can arise in a number of ways including not providing a solution to a statistical problem or by producing paradoxes. So my research is concerned with developing a satisfactory theory and with its application to problems of statistical interest. The theory is based on a clear method of measuring statistical evidence.


Initially, I pursued statistics within the context of the frequentist framework. I became disenchanted with frequentism for a variety of reasons not the least of which being the lack of a firm, logical foundation. Subsequently, I studied the Bayesian approach which is somewhat more successful at solving statistical problems. Again, however, there are a variety of foundational issues associated with Bayesian methodology that are not really answered by common justifications provided for that approach. Relative belief theory is an attempt to deal with these issues.

Areas of Research / Professional Expertise

    I am interested in foundational matters concerned with statistical inference, statistical methodology and computational problems associated with Bayesian statistics.

Personal Interests

    I enjoy playing the guitar in a small jazz group and in the winter I like to ski.



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 Featured Title - Measuring Statistical Evidence Using Relative Belief - 1st Edition book cover