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Contact: luke.fletcher@anu.edu.au INFOENG SEMINAR SERIES Colloquium series
A Non-Bayesian Interpretation of Bayesian Statistics (and why estimation is an ill-posed problem).Professor Jonathan Manton (Info Eng, RSISE, ANU.)DATE: 2006-03-24 TIME: 11:00:00 - 12:00:00 LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU ABSTRACT: Presented at the Probability Conference at ANU in March 2006. This talk argues that there are no estimation problems, only decision problems. It also argues that Bayesian statistics only makes sense if the parameter is truly a random variable, and it shows how in other cases, the same mathematical expressions as arising in Bayesian statistics can be used when the parameter is not a random variable, but with a very different interpretation attached to the formulae. BIO: Professor Manton was born in April 1973. He received his Bachelor of Science (mathematics) and Bachelor of Engineering (electrical) degrees in 1995 and his Ph.D. degree in 1998, all from the University of Melbourne, Australia. From 1998 to 2004, he was with the Department of Electrical and Electronic Engineering at the University of Melbourne. During that time, he held a Postdoctoral Research Fellowship then subsequently a Queen Elizabeth II Fellowship, both from the Australian Research Council. In 2005 he became a full Professor in the Department of Information Engineering, Research School of Information Sciences and Engineering (RSISE) at the Australian National University. He was an Associate Editor for the conference editorial board, IEEE Control and Systems Society and currently is an Associate Editor for the IEEE Transactions on Signal Processing. He is also on the IEEE Signal Processing for Communications technical committee. His research interests range from pure mathematics (e.g. commutative algebra, algebraic geometry, differential geometry) to engineering (e.g. signal processing, wireless communications).
http://users.rsise.anu.edu.au/~jmanton/ |