Statute Law or Case Law?
Nada: A Novel (Modern Library Classics) by Carmen Laforet
"Decisions from experience" = sampling error + prospect theory: Reconsidering Hertwig, Barron, Weber & Erev (2004)
Evidence Generation Strategic Planning for Optimal Product Positioning
Ranking Dairy Cows for Future Profitability and Culling Decisions
Near-optimal operation by self-optimizing control: from process control to marathon running and business systems
Grape (Vitis vinifera L.) BAC Library Construction, Preliminary STC Analysis, and Identification of Clones Associated with Flavonoid and Stilbene Biosynthesis
Official Statistics and Statistical Ethics : Selected Issues
Can avoidance of complications lead to biased healthcare decisions?
Strengthening the Links Between Macroeconomic Statistical Guidelines and Accounting Standards
It is a wonderful book for financial and Industrial Organization research. The book illustrates how to use Bayisan Statistics for updating counsumers/traders' information about products/stocks, which is widely used in asymetric/coordination games and in uncertainty research. The book is clearly written, easy to understand even without a solid backgroup in Baysian Statistics. And with a normal prior distribution of belief, you will get a beautiful/approachable normal posterior distribution. This definitely simplies the information-updating process much.
I bought this book in 1987 when I took Morry Degroot's course in decision theory. I have used it ever since. The text makes all the connections between bayesian decision theory and probability theory and covers the useful techniques in both areas. Of course, Morry made the book even more effective through the excellent problem sets that are included. And they can be challenging as any really informative exercise would be.
I hesitated to write anything on this because it seemed presumptuous to "review" anything from Morry. But, I thought that I might be allowed this one testimonial to a person I will never forget and a book that has helped me for so long.
I was looking for particular information about conjugate priors , and this book had exactly what I was looking for. Chapters Include: Subjective Probability, Utility, Decision Problems, Conjugate Prior Distributions, Sequential Decisions, Optimal Stopping
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