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Handbook of Bayesian Variable Selection

The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects;

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Bayesian Model Comparison

issues include parallel computation, Hamiltonian Monte Carlo, dynamic model selection, small sample comparison of structural models, Bayesian;

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Palgrave Handbook of Econometrics

history of econometrics, developments in time-series and cross-section econometrics, modelling with integrated variables, Bayesian econometrics;

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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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Bayesian Model Selection and Statistical Modeling

different types of simulation-based Bayesian model selection criteria, including the numerical calculation of Bayes factors.;

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Doing Bayesian Data Analysis

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian;

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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

problems, and the Bayesian paradigm has a major role to play in the understanding of the complex interplay of context and individual predisposition;

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Comparative Study on Model Selection Criteria in Gee

Model (or variable) selection is an essential part of any statistical analysis. Since a GEE model does not specify a likelihood structure;

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Handbook of Approximate Bayesian Computation

first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice and;

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Plane Answers to Complex Questions

of the standard topics are covered in depth: estimation including biased and Bayesian estimation, significance testing, ANOVA, multiple;

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Plane Answers to Complex Questions

of the standard topics are covered in depth: estimation including biased and Bayesian estimation, significance testing, ANOVA, multiple;

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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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Essential Bayesian Models

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

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Robust Cluster Analysis and Variable Selection

well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory;

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Statistical Issues in Machine Learning Towards Reliable Split Selection and Variable Importance Measures

Statistical Issues in Machine Learning Towards Reliable Split Selection and Variable Importance Measures is een boek van Strobl, Carolin;

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Bayesian Phylogenetics

-art Bayesian statistics to the phylogenetics community. The book emphasizes model selection, reflecting recent interest in accurately;

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Bayesian Methods for Repeated Measures

Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated;

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Bayesian Methods for Repeated Measures

Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated;

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The Handbook of Variable Income Annuities

In-depth coverage of variable income annuities With trillions of dollars in retirement savings asset;...

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Essential Statistical Inference

of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related;

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Economic Forecasting

of decision theory and estimation, and demonstrates the profound implications of this approach for how we understand variable selection, estimation;

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Efficient Electrical Systems Design Handbook

each phase of design, covering equipment selection, power distribution system analysis, conduit and conductor sizing, lighting system design;

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Mathematical Theory of Bayesian Statistics

Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more;

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Mathematical Theory of Bayesian Statistics

Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more;

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Electrical Equipment Handbook

need for selection, applications, operations, diagnostic testing, troubleshooting and maintenance for all capital equipment placed firmly;

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Bayesian Cognitive Modeling

Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology;

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Bayesian Cognitive Modeling

Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology;

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