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Applied Bayesian Modelling

The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling;

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An Introduction to Bayesian Inference, Methods and Computation

These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy;

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Bayesian Hierarchical Models

hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling;

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Bayesian Hierarchical Models

hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and;

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Case Studies in Applied Bayesian Data Science: Cirm Jean-Morlet Chair, Fall 2018

Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a;

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Multivariate Statistical Modelling Based on Generalized Linear Models

The book is aimed at applied statisticians, graduate students of statistics, and students and researchers with a strong interest;

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Bayesian Statistical Modelling

programs.Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, public health and the social;

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Bayesian Analysis of Stochastic Process Models

, computational, inference, forecasting, decision making and important applied models. Key features: * Explores Bayesian analysis of models based on;

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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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Case Studies in Bayesian Statistical Modelling and Analysis

Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian;

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Bayesian Modeling and Computation in Python

Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands;

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Bayesian Methods for Nonlinear Classification and Regression

Nonlinear Bayesian modelling is a relatively new field, but one that has seen a recent explosion of interest. Nonlinear models offer more;

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Bayesian Networks

Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility;

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Applied Stochastic Modelling

Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience;

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Applied Stochastic Modelling

Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience;

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Bayesian Methods in Statistics

This book gets you up and running with doing complex Bayesian statistics, focussing on applied analysis rather than maths.;

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Bayesian Methods in Statistics

This book gets you up and running with doing complex Bayesian statistics, focussing on applied analysis rather than maths.;

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Visual Analysis of Behaviour

connecting-the-dots for abnormal behaviour detection; discusses Bayesian information criterion, Bayesian networks, bag-of-words representation;

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Applied Optimal Designs

and practitioners in various fields of applied science are now beginning to recognize the advantages and potential of optimal experimental;

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Bayesian Methods in Pharmaceutical Research

Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics;

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Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain

uncertainty in modelling by using Bayesian statistics and Bayesian Belief Networks. Bayesian approaches use prior probabilities (partly accounting for;

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Bayesian Analysis of Linear Models

With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems, the need for a comprehensive, up-to-date;

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Bayesian Analysis of Linear Models

With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems, the need for a comprehensive, up-to-date;

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Current Trends in Bayesian Methodology with Applications

latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis;

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Current Trends in Bayesian Methodology with Applications

latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis;

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Bayesian Models for Categorical Data

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology;

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Likelihood & Bayesian Inference

choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book Applied Statistical Inference has been;

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