Bayesian statistics : an introduction

Bayesian statistics : an introduction

Introduction to Bayesian statistics

Bayesian statistics and marketing

Bayes linear statistics theory and methods

Contemporary Bayesian econometrics and statistics

Bayesian Statistics for the Social Sciences

Bayesian statistics for the social sciences

Probability, statistics, and decision for civil engineers

Introduction to applied Bayesian statistics and estimation for social scientists

Subjective and objective Bayesian statistics principles, models, and applications

Measurement error and misclassification in statistics and epidemiology impacts and Bayesian adjustments

Multivariate Bayesian statistics models for source separation and signal unmixing

Bayesian statistics in actuarial science : with emphasis on credibility

Bayesian biostatistics

Data analysis in forensic science a Bayesian decision perspective

Bayesian networks a practical guide to applications

Uncertain judgements eliciting experts' probabilities

Bayesian approaches to clinical trials and health-care evaluation

Monte Carlo methods in Bayesian computation

Bayesian model selection and statistical modeling

An introduction to Bayesian analysis : theory and methods

Bayesian biostatistics

Missing data in longitudinal studies strategies for Bayesian modeling and sensitivity analysis

Applied Bayesian modeling and causal inference from incomplete-data perspectives an essential journey with Donald Rubin's statistical family

Applied Bayesian modelling

Introduction to hierarchical Bayesian modeling for ecological data

Clinical trial design Bayesian and frequentist adaptive methods

Basic and advanced Bayesian structural equation modeling with applications in the medical and behavioral sciences

Bayesian item response modeling theory and applications

Large-scale inverse problems and quantification of uncertainty

Large-scale inference empirical Bayes methods for estimation, testing, and prediction

Bayesian modeling using WinBUGS

Bayesian networks an introduction

Bayesian analysis for the social sciences

Bayesian disease mapping hierarchical modeling in spatial epidemiology

Structural equation modeling a Bayesian approach

Theory of preliminary test and Stein-type estimation with applications

Bayesian statistical modelling

Reliability and risk a Bayesian perspective

Bayesian statistical modelling

Bayesian models for categorical data

Bayesian theory

Bayesian theory

Applied Bayesian modelling

Applied Bayesian modeling and causal inference from incomplete-data perspectives an essential journey with Donald Rubin's statistical family

Bayesian methods : a social and behavioral sciences approach

The subjectivity of scientists and the Bayesian approach

Introduction to Bayesian estimation and copula models of dependence

Bayesian cognitive modeling : a practical course

Bayesian analysis made simple an Excel GUI for WinBUGS

Bayesian smoothing and regression for longitudinal, spatial and event history data

Principles of uncertainty

Bayesian Nonparametrics

Bayesian missing data problems EM, data augmentation and noniterative computation

Applied Bayesian hierarchical methods

Applied Bayesian hierarchical methods

Contemporary Bayesian and frequentist statistical research methods for natural resource scientists

Model Selection and Model Averaging

Bayesian biostatistics and diagnostic medicine

Applied Bayesian modelling

Generalized linear models : a Bayesian perspective