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Bayesian Methods for Statistical Analysis »
Authored by: Borek Puza
Publication date: October 2015
Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.
Real Harmonic Analysis »
Authored by: Pascal Auscher, Lashi Bandara
Publication date: February 2012
This book presents the material covered in graduate lectures delivered at The Australian National University in 2010. Real Harmonic Analysis originates from the seminal works of Zygmund and Calderón, pursued by Stein, Weiss, Fefferman, Coifman, Meyer and many others. Moving from the classical periodic setting to the real line, then to higher dimensional Euclidean spaces and finally to, nowadays, sets with minimal structures, the theory has reached a high level of applicability. This is why it is called real harmonic analysis: the usual exponential functions have disappeared from the picture. Set and function decomposition prevail.
Informative Psychometric Filters »
Authored by: Robert A. M. Gregson
Publication date: August 2006
This book is a series of case studies with a common theme. Some refer closely to previous work by the author, but contrast with how they have been treated before, and some are new. Comparisons are drawn using various sorts of psychological and psychophysiological data that characteristically are particularly nonlinear, non-stationary, far from equilibrium and even chaotic, exhibiting abrupt transitions that are both reversible and irreversible, and failing to meet metric properties. A core idea is that both the human organism and the data analysis procedures used are filters, that may variously preserve, transform, distort or even destroy information of significance.
Maverick Mathematician »
The Life and Science of J.E. Moyal
Authored by: Ann Moyal
Publication date: August 2006
J.E. Moyal has been pronounced ‘one of Australia’s most remarkable thinkers’. Yet, he was, essentially, a scientific maverick. Educated in a modest high school in Tel Aviv, he took himself to France to train as an engineer, statistician and mathematician and escaped to England as France fell.
It was from outside academia that he entered into communication with the ‘high priest’ of British theoretical physics, P.A.M. Dirac, challenging him with the idea of a statistical basis of quantum mechanics. Their correspondence forms the core of this book and opens up an important and hitherto unknown chapter for physicists, mathematicians and historians of science. Moyal’s classic paper, ‘A statistical basis for quantum mechanics’, also reproduced here in full, has come to underlie an explosion of research and to underpin an array of major technological developments.
Joe Moyal emerges in this small biography as a witty and intrepid character, a scuba diver and wine connoisseur, a generous teacher and researcher, and a man whose academic life-spanning France, Ireland, Britain, the USA and Australia-intersected with some of the leading scientists of the 20th century.