Applied Bayesian Statistics for Data Scientists: Bayesian Inference, Probabilistic Modeling, and Decision Making with Python and PyMC
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Applied Bayesian Statistics: With R and OpenBUGS Examples: 98 (Springer Texts in Statistics, 98)
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Applied Bayesian Statistics for Data Scientists: Bayesian Inference, Probabilistic Modeling, and Decision Making with Python and PyMC
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Applied Bayesian Statistics
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Applied Bayesian and Classical Inference: The Case of The Federalist Papers (Springer Series in Statistics)
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Bayesian Applications in Environmental and Ecological Studies with R and Stan (Chapman & Hall/CRC Applied Environmental Statistics)
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Elements of Bayesian Statistics: 134 (Chapman & Hall/CRC Pure and Applied Mathematics)
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Bayes Rules!: An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)
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Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
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Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics)
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Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
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Introduction to Probability and Statistics from a Bayesian Viewpoint: Inference
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Bayesian Nonparametric Statistics: École d’Été de Probabilités de Saint-Flour LI - 2023: 2358 (Lecture Notes in Mathematics, 2358)
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Applied Statistical Modelling for Ecologists: A Practical Guide to Bayesian and Likelihood Inference Using R, JAGS, NIMBLE, Stan and TMB
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Computational Bayesian Statistics: An Introduction: 11 (Institute of Mathematical Statistics Textbooks, Series Number 11)
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Understanding Computational Bayesian Statistics (Wiley Series in Computational Statistics)
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Introduction to Probability and Statistics from a Bayesian Viewpoint – Cambridge University Press
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Applied Statistics Using R : A Guide for the Social Sciences
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An Introduction to Applied Bayesian Methods
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Bayesian Inference of State Space Models: Kalman Filtering and Beyond (Springer Texts in Statistics)
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Applied Probability for Trading and Risk Modeling: Monte Carlo Methods and Bayesian Updating
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Bayesian Theory: 533 (Wiley Series in Probability and Statistics)
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Stochastic Models Applied to Air Pollution Studies: A Bayesian Approach (Forum for Interdisciplinary Mathematics)
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
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Bayesian Econometric Modelling for Big Data (Chapman and Hall/CRC Series on Statistics in Business and Economics)
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The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation (Springer Texts in Statistics)
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Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)
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An Introduction to Applied Bayesian Methods
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Bayesian Theory: 316 (Wiley Series in Probability and Statistics)
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Paired Comparison Modeling with Bayesian Analysis: Statistics for Social Sciences
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Bayesian Networks – A Practical Guide to Applications (Statistics in Practice) – Wiley-VCH
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Robust Bayesian Analysis: 152 (Lecture Notes in Statistics, 152)
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Introduction to Bayesian Data Analysis for Cognitive Science (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
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Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)
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Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences (Wiley Series in Probability and Statistics)
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