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Decision Theory as Philosophy

Is Bayesian decision theory a panacea for many of the problems in epistemology and the philosophy of science, or is it philosophical snake;

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The Probabilistic Foundations of Rational Learning

According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new;

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The Probabilistic Foundations of Rational Learning

According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new;

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Bayesian Epistemology

, testimony, scientific theories, and voting. Bayesian Epistemology is an essential tool for anyone working on probabilistic methods in philosophy;

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Decision Theory As Philosophy

classic paradoxes. It focuses on the intuitive motivations of the Bayesian approach to epistemology and addresses the philosophical worries to;

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A Guide through the Theory of Knowledge

perception, induction and probability, and knowledge of minds, as well as newer topics such as naturalistic epistemology, Bayesian epistemology;

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Bayesian Programming

objectivist epistemology of probability. The First Steps toward a Bayesian ComputerA new modeling methodology, new inference algorithms, new;

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Bayesian Programming

objectivist epistemology of probability. The First Steps toward a Bayesian ComputerA new modeling methodology, new inference algorithms, new;

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Resonance

Resonance examines some building blocks of epistemology as a prelude to the careful analysis of the foundations of probability. The concept;

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Computer Epistemology

This book is an essay on relevant problems of epistemology (the theory of knowledge) related to computer science. It draws a continuous;

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Current Trends in Bayesian Methodology with Applications

Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the;

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Current Trends in Bayesian Methodology with Applications

Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the;

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Bayesian Model Selection and Statistical Modeling

Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model;

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Introduction to Bayesian Statistics

...this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written;

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Bayesian Artificial Intelligence

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main;

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Bayesian Artificial Intelligence

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main;

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Practical Applications of Bayesian Reliability

Demonstrates how to solve reliability problems using practical applications of Bayesian models This self-contained reference provides;

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Elementary Bayesian Biostatistics

Bayesian analyses have made important inroads in modern clinical research due, in part, to the incorporation of the traditional tools;

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Elementary Bayesian Biostatistics

Bayesian analyses have made important inroads in modern clinical research due, in part, to the incorporation of the traditional tools;

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Bayesian Modeling Using WinBUGS

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible;

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Bayesian Phylogenetics

Offering a rich diversity of models, Bayesian phylogenetics allows evolutionary biologists, systematists, ecologists, and epidemiologists;

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Bayesian Thinking, Modeling and Computation

This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Bayesian Process Monitoring, Control and Optimization

Although there are many Bayesian statistical books that focus on biostatistics and economics, there are few that address the problems faced;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Statistical Decision Theory and Bayesian Analysis

In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics;

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Essential Bayesian Models

This accessible reference includes selected contributions from Bayesian Thinking - Modeling and Computation, Volume 25 in the Handbook;

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