Probability and Computing: Randomized Algorithms and Probabilistic Analysis5 reviews Michael Mitzenmacher, Eli Upfal Cambridge University Press, 2005 Good Introductory Textbook + Great Book! + Advanced probability topics without measure theory It's pretty easy to get computers to do things where the answer is yes or no, or 4 or 6, given that the inputs to the problem are known. It's much harder to get an answer to a problem where the answer is that their is a 62% chance that the answer is yes. Unfortunately, in real life it's this second ...             The Subjectivity of Scientists and the Bayesian Approach1 review S. James Press, Judith M. Tanur Wiley-Interscience, 2001 An Important and Valuable Book Scientists are subjective, and they always have been. This book documents the long list of scientists who developed the theory first and then went into the 'laboratory' to do observations. It shatters the image of objective scientists, and creates an amazing picture of the scientific method. ...             An Introduction to Probability and Inductive Logic5 reviews Ian Hacking Cambridge University Press, 2001 For anyone, any thinker + Especially good on Bayesianism and Frequentism + unlike any other probability text + Hacking gets everything right except for Keynes + What do you mean, "probably"?             Expert Systems and Probabilistic Network Models (Monographs in Computer Science) Enrique Castillo, Jose M. Gutierrez, ... Springer, 1996 Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.             Monte Carlo Methods in Bayesian Computation (Springer Series in Statistics)10 reviews Ming-Hui Chen, Qi-Man Shao, ... Springer, 2001 MCMC methods presente for efficient and realistic application of Bayesian methods + extensive book on MCMC + two great books With advances in computing and the rediscovery of Markov Chain Monte Carlo methods and their application to Bayesian methods, there have been a number of books written on this subject in recent years. What then distinguishes this text from the others? Section 1.1 of the text "Aims" provides the ...             Graphical Models: Methods for Data Analysis and Mining1 review Christian Borgelt, Rudolf Kruse Wiley, 2002 Good introduction, however focus on possibility The book gives a good, very deep introduction to the topic of Graphical models and data mining. The main focus is on the data mining section, thus the reader should have a basic knowledge about the graphical model concept. It is certainly not a beginner's book or a tutorial on graphical models or ...             Bayesian Networks and Decision Graphs (Information Science and Statistics)8 reviews Finn V. Jensen Springer, 2002 Good Book + A very good introduction to Bayesian networks + Accessible introduction to Bayesian Networks For an introduction to the subject, this book is unequivocal in my experience with the literature. Great read that has propelled me forward into combining a bayesian network with a physical model to approach a very complex sediment transport problem.             Bayesian Methods: A Social and Behavioral Sciences Approach12 reviews Jeff Gill Chapman & Hall/CRC, 2002 extremely well written introduction for social scientists + Required book for class + Bayes from a social scientist's perspective + Excellent Introduction for Social Scientists             Learning Bayesian Networks (Artificial Intelligence)2 reviews Richard E. Neapolitan Prentice Hall, 2003 An excellent overview + Enjoying this book enormously In just a decade, Bayesian networks have went from being a mere academic curiosity to a highly useful field with myriads of applications. Indeed, the applications of Bayesian networks are wide-ranging and include disparate fields such as network engineering, bioinformatics, medical diagnostics, and ...             Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers (Cambridge Series in ...6 reviews Thomas Leonard, John S. J. Hsu Cambridge University Press, 2001 good graduate level text on Bayesian approaches to statistics + Demonstrates Application of Bayesian Methods to Problems + good graduate level intro to Bayesian methods The authors provide a graduate level (masters level) text for Bayesian methods. In the first chapter they introduce Fisherian statistical concepts and emphasize the likelihood methods. As Bayesian methods are introduced they often show how similar they are to the Fisherian methods when the prior ...             Monte Carlo Statistical Methods (Springer Texts in Statistics)7 reviews Christian P. Robert, George Casella Springer, 2005 Comprehensive and detailed + great coverage of Monte Carlo MCMC and its Bayesian applications + Comprehensive but hard to read + Monte Carlo Statistical Methods (by Christian P. Robert) + Review of the Monte Carlo Statistical Methods book             Bayesian Data Analysis, Second Edition (Texts in Statistical Science)10 reviews Andrew Gelman, John B. Carlin, ... Chapman & Hall/CRC, 2003 great coverage of Bayesian Methods including MCMC + Decent for engineers + Very Excellent, but non-statisticians should start elsewhere + As Good As It Gets For An Intro To Bayes             Understanding Probability: Chance Rules in Everyday Life8 reviews Henk Tijms Cambridge University Press, 2004 A great introductory probability book + An excellent introduction to probability for the mathematically advanced + Just what I needed + Great intro to probability + A reader from Mexico City             Algebra of Probable Inference4 reviews Richard T. Cox The Johns Hopkins University Press, 2001 Degrees of belief as an extension of Boolean logic + Cox understood Keynes better than Ramsey and de Finetti but + Like a ten-pound textbook, in only 130 pages + The best introduction to logical probability theory             Probability Theory: The Logic of Science17 reviews E. T. Jaynes Cambridge University Press, 2003 unbelievably charming and intelligent + Thought provoking + Flawed gems + On first reading + Great hard to find information             Introduction to Bayesian Statistics9 reviews William M. Bolstad Wiley-Interscience, 2004 I want to teach from this book! + Pretty good and short + A pedagogy gem + A must for beginners + A Great must for starters to Bayesian Statistics             Graphical Belief Modeling1 review Russell G. Almond Chapman & Hall/CRC, 1995 goes beyond the idea of a probability distribution A belief function is a step beyond traditional probability distribution functions. The latter describe uncertainty. But, by definition, you somehow know precisely that a given pdf is a correct description of a process. A belief function tries to express the imprecision in knowledge about a pdf. ...             Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)2 reviews Mike West, Jeff Harrison Springer, 1999 time series using the Bayesian approach + A really good way to master Dinamic linear models A Bayesian approach is a natural way to deal with time series data. You construct a model based on past data and prior information and use the model to predict future values in the series. When the new observations come in the model can be updated (model parameters reestimated) and forecasts can ...             Causality: Models, Reasoning, and Inference12 reviews Judea Pearl Cambridge University Press, 2000 Important but difficult + Pearl's view on causality + What is the cause of intolerance? + A Pioneering Book on Causality             Bayesian Artificial Intelligence (Chapman & Hall/Crc Computer Science and Data Analysis)3 reviews Kevin B. Korb, Ann E. Nicholson Chapman & Hall/CRC, 2003 Excellent Introductory Text + Very good introduction in causal Modeling It is difficult to assess a review without understanding the biases of the reviewer. I fall under the category of researcher/practitioner when it comes to reasoning with graphical models. I am familiar with and make use of several books and papers on this topic in my work. Of the set of standard ...