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1993, 1, Monographs on statistics and applied probability (Series), ISBN 9780412034718, Volume 55, xii, 264
The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on... 
Prediction theory | Analysis of variance | Probability Theory & Applications
Book
2012, Wiley series in probability and statistics, ISBN 9780470581711, Volume 876, 366
A balanced treatment of the theories, methodologies, and design issues involved in clinical trials using statistical methods There has been enormous interest... 
Clinical Medicine | Medical | Bayesian statistical decision theory | Clinical trials | Statistical methods | Mathematical statistics
eBook
2010, Cambridge series in statistical and probabilistic mathematics, ISBN 0521513464, Volume 28., viii, 299
"Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the... 
Bayesian statistical decision theory | Nonparametric statistics
Book
Current directions in psychological science : a journal of the American Psychological Society, ISSN 1467-8721, 2016, Volume 25, Issue 3, pp. 169 - 176
The practical advantages of Bayesian inference are demonstrated here through two concrete examples. In the first example, we wish to learn about a criminal’s... 
prediction | parameter estimation | updating | hypothesis testing | Bayesian inference | PSYCHOLOGY, MULTIDISCIPLINARY
Journal Article
Journal Article
2003, OUP Catalogue, ISBN 0199270406, 170
Probabilistic models have much to offer to epistemology and philosophy of science. Arguably, the coherence theory of justification claims that the more... 
Epistemology | Metaphysics | Bayesian statistical decision theory | Mathematical models | Knowledge, Theory of | Reasoning
Book
2007, 1. Aufl., Wiley series in probability and statistics, ISBN 9780470015629, xix, 508
Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this... 
Probability & Statistics | Mathematics | Bayesian Analysis | Bayesian statistical decision theory | Linear systems | Computational complexity
Book
2009, Cambridge introductions to philosophy, ISBN 0521888379, x, 317 pages
This up-to-date introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk, the foundations of... 
Bayesian statistical decision theory | Logic, Symbolic and mathematical | Mathematical models | Decision making | Game theory | Humanities | Philosophy, Ethics and Religion | Filosofi, etik och religion | Filosofi | Philosophy | Humaniora
Book