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Bayesian Biostatistics

1, 2012

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Model-Assisted Bayesian Designs for Dose Finding and Optimization: Methods and Applications

1, 2023

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Bayesian Theory

1. Aufl., 2009

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Understanding computational bayesian statistics

Bolstad, William M

1st ed., 2012

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Development of Clinical Decision Support Systems Using Bayesian Networks: With an Example of a Multi-Disciplinary Treatment Decision for Laryngeal Cancer

Cypko, Mario A

1st Edition 2020, 2020

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Bayesian regression tree ensembles that adapt to smoothness and sparsity

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2018-11, Vol.80 (5), p.1087-1110

2018

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Bayesian Statistics and Marketing

2, 2024

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Parallel Bayesian Global Optimization of Expensive Functions

Operations research, 2020-11, Vol.68 (6), p.1850-1865

2020

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Bayesian Psychometric Modeling

1st, 2016

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Case Studies in Bayesian Methods for Biopharmaceutical CMC

1, 2023

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Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

The annals of applied statistics, 2015-09, Vol.9 (3)

2015

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Bayesian forecasting in economics and finance: A modern review

International journal of forecasting, 2024-04, Vol.40 (2), p.811-839

2024

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Model misspecification in approximate Bayesian computation: consequences and diagnostics

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2020-04, Vol.82 (2), p.421-444

2020

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A general framework for updating belief distributions

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2016-11, Vol.78 (5), p.1103-1130

2016

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Achieving shrinkage in a time-varying parameter model framework

Journal of econometrics, 2019-05, Vol.210 (1), p.75-97

2019

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Variational Inference: A Review for Statisticians

Journal of the American Statistical Association, 2017-06, Vol.112 (518), p.859-877

2017

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Dirichlet–Laplace Priors for Optimal Shrinkage

Journal of the American Statistical Association, 2015-12, Vol.110 (512), p.1479-1490

2015

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Bayesian demography 250 years after Bayes

Population studies, 2016-01, Vol.70 (1), p.1-19

2016

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Bayesian Programming

1, 2013

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Frequentist Consistency of Variational Bayes

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1147-1161

2019

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Approximating Bayes in the 21st Century

Statistical science, 2024-02, Vol.39 (1), p.20

2024

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Bayesian Networks: An Introduction

1. Aufl., 2009

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Structural Equation Modeling: A Bayesian Approach

Lee, Sik-Yum

1. Aufl., 2007

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Mixtures of g-Priors in Generalized Linear Models

Journal of the American Statistical Association, 2018-10, Vol.113 (524), p.1828-1845

2018

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Model selection principles in misspecified models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2014, Vol.76 (1), p.141-167

2014

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Bayesian Biostatistics

Model-Assisted Bayesian Designs for Dose Finding and Optimization: Methods and Applications

Bayesian Theory

Understanding computational bayesian statistics

Development of Clinical Decision Support Systems Using Bayesian Networks: With an Example of a Multi-Disciplinary Treatment Decision for Laryngeal Cancer

Bayesian regression tree ensembles that adapt to smoothness and sparsity

Bayesian Statistics and Marketing

Parallel Bayesian Global Optimization of Expensive Functions

Bayesian Psychometric Modeling

Case Studies in Bayesian Methods for Biopharmaceutical CMC

Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

Bayesian forecasting in economics and finance: A modern review

Model misspecification in approximate Bayesian computation: consequences and diagnostics

A general framework for updating belief distributions

Achieving shrinkage in a time-varying parameter model framework

Variational Inference: A Review for Statisticians

Dirichlet–Laplace Priors for Optimal Shrinkage

Bayesian demography 250 years after Bayes

Bayesian Programming

Frequentist Consistency of Variational Bayes

Approximating Bayes in the 21st Century

Bayesian Networks: An Introduction

Structural Equation Modeling: A Bayesian Approach

Mixtures of g-Priors in Generalized Linear Models

Model selection principles in misspecified models

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