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Bayesian Probability Theory

From the basics to the forefront of modern research, this book presents all aspects of probability theory, statistics and data analysis;

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Cambridge Studies in Probability, Induction and Decision Theory

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic;

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Bayesian Decision Analysis

contains basic material on subjective probability theory and multi-attribute utility theory, event and decision trees, Bayesian networks, influence;

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BAYESIAN INFERENCE

. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory;

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Probability

This book is an elementary and practical introduction to probability theory. It differs from other introductory texts in two important;

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Bayesian Statistics The Fun Way

Bayesian Statistics the Fun Way gets you understanding the theory behind data analysis without making you slog through a load of dry;

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Rethinking the Foundations of Statistics

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic;

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Biostatistics

confidence intervals, margins of error, and one-sided p-values-in Bayesian terms. Topics covered include: Probability and subjective probability;

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Bayes' Rule: A Tutorial Introduction to Bayesian Analysis

Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly;

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Bayesian Theory

decision, the Bayesian collects data from all possible theories and assigns a probability to them. This generates a prior distribution from which;

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A Mathematical Theory of Evidence

upper and lower probabilities as fundamental. The book opens with a critique of the well-known Bayesian theory of epistemic probability. It then;

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Bayesian Modeling and Computation in Python

the underlying mathematical theory. The book starts with a refresher of the Bayesian Inference concepts. The second chapter introduces modern;

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Subjective Probability Models for Lifetimes

, within a framework of Bayesian theory, the author considers the effects of different levels of information in the analysis of the phenomena;

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Subjective Probability Models for Lifetimes

, within a framework of Bayesian theory, the author considers the effects of different levels of information in the analysis of the phenomena;

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The Bayesian Way: Introductory Statistics for Economists and Engineers

of topics, starting with descriptive statistics, set theory, and combinatorics. The text then goes on to review fundamental probability theory and;

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Probability and Bayesian Modeling

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus;

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Bayesian Programming

financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an;

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Bayesian Programming

financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an;

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Cambridge Studies in Probability, Induction and Decision Theory

author examines both Bayesian decision theory and confirmation theory, refining and elaborating the views of Ramsey and Savage. He argues that;

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Cambridge Studies in Probability, Induction and Decision Theory

author examines both Bayesian decision theory and confirmation theory, refining and elaborating the views of Ramsey and Savage. He argues that;

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Rational Decisions

It is widely held that Bayesian decision theory is the final word on how a rational person should make decisions. However, Leonard Savage;

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Search For Certainty, The

perception, the Bayesian statistics shares nothing in common with the subjective philosophy of probability. This volume is non-partisan on the;

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Probability

This book is a collective work made by various authors well-recognised owing to their appreciable contributions to the theory and;

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Probability and Statistics for Particle Physics

This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them;

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Decisions Under Uncertainty

of the 100-year load and how is it calculated? What is an 'extremal' probability distribution? What is the Bayesian approach? How is utility;

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Decisions under Uncertainty

of the 100-year load and how is it calculated? What is an 'extremal' probability distribution? What is the Bayesian approach? How is utility;

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Bayesian Statistics for Experimental Scientists

statistics. The book first covers elementary probability theory, the binomial model, the multinomial model, and methods for comparing different;

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