applied bayesian statistics

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Applied Bayesian Statistics (Quantitative Applications in the Social Sciences)
Applied Bayesian Statistics (Quantitative Applications in the Social Sciences)
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Statistical Inference: An Integrated Bayesian/Likelihood Approach: 116 (CRC Monographs on Statistics & Applied Probability (Hardcover))
Statistical Inference: An Integrated Bayesian/Likelihood Approach: 116 (CRC Monographs on Statistics & Applied Probability (Hardcover))
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Bayesian Applications in Environmental and Ecological Studies with R and Stan (Chapman & Hall/CRC Applied Environmental Statistics)
Bayesian Applications in Environmental and Ecological Studies with R and Stan (Chapman & Hall/CRC Applied Environmental Statistics)
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Bayesian Nonparametric Statistics: École d’Été de Probabilités de Saint-Flour LI - 2023: 2358 (Lecture Notes in Mathematics, 2358)
Bayesian Nonparametric Statistics: École d’Été de Probabilités de Saint-Flour LI - 2023: 2358 (Lecture Notes in Mathematics, 2358)
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Bayes Rules!: An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)
Bayes Rules!: An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)
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Introduction to Probability and Statistics from a Bayesian Viewpoint: Inference
Introduction to Probability and Statistics from a Bayesian Viewpoint: Inference
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APPLIED BAYESIAN GARCH WITH R: Theory, Implementation, and Case Studies in Financial Volatility
APPLIED BAYESIAN GARCH WITH R: Theory, Implementation, and Case Studies in Financial Volatility
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Applied Statistical Modelling for Ecologists: A Practical Guide to Bayesian and Likelihood Inference Using R, JAGS, NIMBLE, Stan and TMB
Applied Statistical Modelling for Ecologists: A Practical Guide to Bayesian and Likelihood Inference Using R, JAGS, NIMBLE, Stan and TMB
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Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
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Mathematical Theory of Bayesian Statistics
Mathematical Theory of Bayesian Statistics
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Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
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Introduction to Bayesian Statistics
Introduction to Bayesian Statistics
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Computational Bayesian Statistics: An Introduction: 11 (Institute of Mathematical Statistics Textbooks, Series Number 11)
Computational Bayesian Statistics: An Introduction: 11 (Institute of Mathematical Statistics Textbooks, Series Number 11)
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Applied Statistics Using R : A Guide for the Social Sciences
Applied Statistics Using R : A Guide for the Social Sciences
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Introduction to Probability and Statistics from a Bayesian Viewpoint
Introduction to Probability and Statistics from a Bayesian Viewpoint
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Bayesian Statistics
Bayesian Statistics
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A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
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Bayesian Theory: 316 (Wiley Series in Probability and Statistics)
Bayesian Theory: 316 (Wiley Series in Probability and Statistics)
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Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models: Theory and Case Studies in R and NIMBLE (Chapman & Hall/CRC Interdisciplinary Statistics)
Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models: Theory and Case Studies in R and NIMBLE (Chapman & Hall/CRC Interdisciplinary Statistics)
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Bayesian Nonparametric Data Analysis (Springer Series in Statistics)
Bayesian Nonparametric Data Analysis (Springer Series in Statistics)
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Bayesian Filtering and Smoothing (Institute of Mathematical Statistics Textbooks, Series Number 3)
Bayesian Filtering and Smoothing (Institute of Mathematical Statistics Textbooks, Series Number 3)
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Bayesian Networks: A Practical Guide to Applications (Statistics in Practice)
Bayesian Networks: A Practical Guide to Applications (Statistics in Practice)
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Introduction to Bayesian Econometrics: A GUIded Toolkit using R (Chapman and Hall/CRC Series on Statistics in Business and Economics)
Introduction to Bayesian Econometrics: A GUIded Toolkit using R (Chapman and Hall/CRC Series on Statistics in Business and Economics)
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Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge Texts in Applied Mathematics)
Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge Texts in Applied Mathematics)
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Introduction to Bayesian Econometrics: A GUIded Toolkit using R (Chapman and Hall/CRC Series on Statistics in Business and Economics)
Introduction to Bayesian Econometrics: A GUIded Toolkit using R (Chapman and Hall/CRC Series on Statistics in Business and Economics)
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A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
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Fundamentals of Bayesian Epistemology 1 : Introducing Credences
Fundamentals of Bayesian Epistemology 1 : Introducing Credences
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Bayesian Networks: An Introduction (Wiley Series in Probability and Statistics)
Bayesian Networks: An Introduction (Wiley Series in Probability and Statistics)
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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis: 22 (Information Science and Statistics, 22)
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis: 22 (Information Science and Statistics, 22)
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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
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The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation (Springer Texts in Statistics)
The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation (Springer Texts in Statistics)
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Bayesian Theory: 533 (Wiley Series in Probability and Statistics)
Bayesian Theory: 533 (Wiley Series in Probability and Statistics)
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Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)
Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
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Introduction to Bayesian Data Analysis for Cognitive Science (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Introduction to Bayesian Data Analysis for Cognitive Science (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
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Bayesian Inference of State Space Models: Kalman Filtering and Beyond (Springer Texts in Statistics)
Bayesian Inference of State Space Models: Kalman Filtering and Beyond (Springer Texts in Statistics)
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Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
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Bayesian Networks in R: with Applications in Systems Biology: 48 (Use R!, 48)
Bayesian Networks in R: with Applications in Systems Biology: 48 (Use R!, 48)
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Modeling and Reasoning with Bayesian Networks
Modeling and Reasoning with Bayesian Networks
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Monte Carlo Methods in Bayesian Computation
Monte Carlo Methods in Bayesian Computation
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