Recent Advances in Statistical Inference and Computational Methodologies

Friday August 16, 2pm, AGR Carslaw 829

Anthony Hayter ( University of Denver, Daniels College of Business, Department of Business Information and Analytics)

Title: Recent Advances in Statistical Inference and Computational Methodologies

Some recent work in statistical inference and computational methodologies will be presented, with applications. Recursive integration methods will be discussed, which provide an efficient way of evaluating high-dimensional integral expressions. Discussions will also be provided of recent advances in win-probabilities, and latent score methodologies for modelling financial credit ratings.
Bio Anthony Hayter is a Full Professor in the Department of Business Information and Analytics at the University of Denver. He has an M.A. in mathematics from Cambridge University, and a Ph.D. in Statistics from Cornell University. He is the author of the textbook “Probability and Statistics for Engineers and Scientists,” the 4th edition of which was published in 2012. He has global interests and has taught statistics in some Japanese MBA programs. He was awarded a Fulbright Foreign Scholarship Award in 2011-2012 and a Fulbright Specialist Grant in 2014 to assist the government, universities, and businesses in Thailand with surveys, data analysis, curriculum development and research projects.