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Modern Discrete Probability An Essential Toolkit Roch Hardback 9781009305112
Modern Discrete Probability An Essential Toolkit Roch Hardback 9781009305112
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Bayesian Analysis with Python - Second Edition: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ
Bayesian Analysis with Python - Second Edition: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ
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Behavioral Social Choice: Probabilistic Models, Statistical Inference, and Applications
Behavioral Social Choice: Probabilistic Models, Statistical Inference, and Applications
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Bayesian Statistics and Machine Learning with Python: A Hands-On Guide to Probabilistic Programming, Statistical Modeling, and Data Science Using PyMC, Stan, and Scikit-Learn
Bayesian Statistics and Machine Learning with Python: A Hands-On Guide to Probabilistic Programming, Statistical Modeling, and Data Science Using PyMC, Stan, and Scikit-Learn
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Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Series in Actuarial Science)
Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Series in Actuarial Science)
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BAYESIAN INFERENCE WITH PYTHON FOR BEGINNERS: An Introductory, Hands-On Guide to Probabilistic Modeling and Statistical Reasoning Using PyMC and NumPy.
BAYESIAN INFERENCE WITH PYTHON FOR BEGINNERS: An Introductory, Hands-On Guide to Probabilistic Modeling and Statistical Reasoning Using PyMC and NumPy.
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Probabilistic and Statistical Aspects of Quantum Theory: 1 (Publications of the Scuola Normale Superiore, 1)
Probabilistic and Statistical Aspects of Quantum Theory: 1 (Publications of the Scuola Normale Superiore, 1)
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Introduction to Probabilistic and Statistical Methods with Examples in R
Introduction to Probabilistic and Statistical Methods with Examples in R
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Mathematical Foundations of Infinite-Dimensional Statistical Models: 40 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Mathematical Foundations of Infinite-Dimensional Statistical Models: 40 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
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STATORY ANALYTICS LANGUAGE FOUNDATIONS: Declarative Statistical Modeling for Inference Simulation and Large-Scale Analysis (Statistical, Probabilistic & Analytical Computing)
STATORY ANALYTICS LANGUAGE FOUNDATIONS: Declarative Statistical Modeling for Inference Simulation and Large-Scale Analysis (Statistical, Probabilistic & Analytical Computing)
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Statistical Hypothesis Testing in Context: Volume 52: Reproducibility, Inference, and Science: Series Number 52 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 52)
Statistical Hypothesis Testing in Context: Volume 52: Reproducibility, Inference, and Science: Series Number 52 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 52)
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PROBABILIS COMPUTATION FOR STOCHASTIC SYSTEMS: Programming Uncertainty Randomness and Probabilistic Decision Models (Statistical, Probabilistic & Analytical Computing)
PROBABILIS COMPUTATION FOR STOCHASTIC SYSTEMS: Programming Uncertainty Randomness and Probabilistic Decision Models (Statistical, Probabilistic & Analytical Computing)
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Essentials of Statistical Inference
Essentials of Statistical Inference
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Mathematical Foundations of Infinite-Dimensional Statistical Models: Series Number 40 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
Mathematical Foundations of Infinite-Dimensional Statistical Models: Series Number 40 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)
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The Emergence of Probability: A Philosophical Study of Early Ideas About Probability Induction and Statistical Inference (Cambridge Series on Statistical & Probabilistic Mathematics)
The Emergence of Probability: A Philosophical Study of Early Ideas About Probability Induction and Statistical Inference (Cambridge Series on Statistical & Probabilistic Mathematics)
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Statistical Analysis of Stochastic Processes in Time: 14 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 14)
Statistical Analysis of Stochastic Processes in Time: 14 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 14)
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Statistical Mechanics of Disordered Systems: A Mathematical Perspective: 18 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 18)
Statistical Mechanics of Disordered Systems: A Mathematical Perspective: 18 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 18)
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Statistical Models: 11 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11)
Statistical Models: 11 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11)
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Confidence, Likelihood, Probability: Statistical Inference with Confidence Distributions: 41 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 41)
Confidence, Likelihood, Probability: Statistical Inference with Confidence Distributions: 41 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 41)
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Statistical Principles for the Design of Experiments: Applications to Real Experiments: 36 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 36)
Statistical Principles for the Design of Experiments: Applications to Real Experiments: 36 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 36)
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Probability on Trees and Networks: 42 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 42)
Probability on Trees and Networks: 42 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 42)
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High-Dimensional Statistics: A Non-Asymptotic Viewpoint: 48 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)
High-Dimensional Statistics: A Non-Asymptotic Viewpoint: 48 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)
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Data Analysis and Graphics Using R: An Example-Based Approach: 10 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
Data Analysis and Graphics Using R: An Example-Based Approach: 10 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
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Spectral Analysis for Univariate Time Series: 51 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 51)
Spectral Analysis for Univariate Time Series: 51 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 51)
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Markov Chains: 2 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 2)
Markov Chains: 2 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 2)
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High-Dimensional Probability
High-Dimensional Probability
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Random Graphs and Complex Networks (Cambridge Series in Statistical and Probabilistic Mathematics)
Random Graphs and Complex Networks (Cambridge Series in Statistical and Probabilistic Mathematics)
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Asymptotic Statistics: 3 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 3)
Asymptotic Statistics: 3 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 3)
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Predictive Statistics: Analysis and Inference beyond Models: 46 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 46)
Predictive Statistics: Analysis and Inference beyond Models: 46 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 46)
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Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers: 5 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 5)
Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers: 5 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 5)
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Probability: Theory and Examples: 49 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)
Probability: Theory and Examples: 49 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 49)
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Bootstrap Methods And Their Application: 1 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 1)
Bootstrap Methods And Their Application: 1 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 1)
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Wavelet Methods for Time Series Analysis: 4 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 4)
Wavelet Methods for Time Series Analysis: 4 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 4)
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Fundamentals of Nonparametric Bayesian Inference: 44 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
Fundamentals of Nonparametric Bayesian Inference: 44 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
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Model-Based Clustering and Classification for Data Science: With Applications in R: Series Number 50 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Model-Based Clustering and Classification for Data Science: With Applications in R: Series Number 50 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
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Random Graphs and Complex Networks: Volume 1: 43 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 43)
Random Graphs and Complex Networks: Volume 1: 43 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 43)
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Bayesian Nonparametrics: 28 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 28)
Bayesian Nonparametrics: 28 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 28)
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Exercises in Probability: A Guided Tour From Measure Theory To Random Processes, Via Conditioning: 35 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 35)
Exercises in Probability: A Guided Tour From Measure Theory To Random Processes, Via Conditioning: 35 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 35)
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The Fundamentals of Heavy Tails: Properties, Emergence, and Estimation: Series Number 53 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 53)
The Fundamentals of Heavy Tails: Properties, Emergence, and Estimation: Series Number 53 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 53)
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Stochastic Processes: 33 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 33)
Stochastic Processes: 33 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 33)
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