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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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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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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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STEP-BY-STEP BAYESIAN STATISTICS: A Beginner’s Guide to Probabilistic Thinking and Statistical Modeling
STEP-BY-STEP BAYESIAN STATISTICS: A Beginner’s Guide to Probabilistic Thinking and Statistical Modeling
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STEP-BY-STEP BAYESIAN STATISTICS: A Beginner’s Guide to Probabilistic Thinking and Statistical Modeling
STEP-BY-STEP BAYESIAN STATISTICS: A Beginner’s Guide to Probabilistic Thinking and Statistical Modeling
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Probabilistic & Statistical Learning How Machines Think When They Are Not Sure: A first-principles, dialogue-driven guide for all ages: 4 (Deep Roots: ... that teaches not just how models work)
Probabilistic & Statistical Learning How Machines Think When They Are Not Sure: A first-principles, dialogue-driven guide for all ages: 4 (Deep Roots: ... that teaches not just how models work)
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Heavy-Tail Phenomena: Probabilistic and Statistical Modeling (Springer Series in Operations Research and Financial Engineering)
Heavy-Tail Phenomena: Probabilistic and Statistical Modeling (Springer Series in Operations Research and Financial Engineering)
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Probabilistic & Statistical Learning How Machines Think When They Are Not Sure: A first-principles, dialogue-driven guide for all ages (Deep Roots: ... that teaches not just how models work)
Probabilistic & Statistical Learning How Machines Think When They Are Not Sure: A first-principles, dialogue-driven guide for all ages (Deep Roots: ... that teaches not just how models work)
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Probabilistic and Statistical Methods in Cryptology: An Introduction by Selected Topics
Probabilistic and Statistical Methods in Cryptology: An Introduction by Selected Topics
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Essentials of Statistical Inference
Essentials of Statistical Inference
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Mathematical Foundations of Infinite-Dimensional Statistical Models – Vol. 40
Mathematical Foundations of Infinite-Dimensional Statistical Models – Vol. 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 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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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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Statistical Models – Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11
Statistical Models – Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11
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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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Statistical Mechanics of Disordered Systems: A Mathematical Perspective (Cambridge Series No. 18)
Statistical Mechanics of Disordered Systems: A Mathematical Perspective (Cambridge Series No. 18)
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Modern Statistical Methods and Theory: An Introduction to Nonparametric and High-Dimensional Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 60)
Modern Statistical Methods and Theory: An Introduction to Nonparametric and High-Dimensional Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 60)
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Statistical Hypothesis Testing in Context – Reproducibility, Inference, and Science – Volume 52
Statistical Hypothesis Testing in Context – Reproducibility, Inference, and Science – Volume 52
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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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Modern Discrete Probability: An Essential Toolkit (Cambridge Series in Statistical and Probabilistic Mathematics)
Modern Discrete Probability: An Essential Toolkit (Cambridge Series in Statistical and Probabilistic Mathematics)
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Bayesian Nonparametrics – Cambridge Series in Statistical and Probabilistic Mathematics No. 28
Bayesian Nonparametrics – Cambridge Series in Statistical and Probabilistic Mathematics No. 28
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High-Dimensional Probability – An Introduction with Applications in Data Science
High-Dimensional Probability – An Introduction with Applications in Data Science
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High-Dimensional Statistics – A Non-Asymptotic Viewpoint – Cambridge Series No. 48
High-Dimensional Statistics – A Non-Asymptotic Viewpoint – Cambridge Series No. 48
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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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Predictive Statistics – Analysis and Inference beyond Models – Cambridge University Press
Predictive Statistics – Analysis and Inference beyond Models – Cambridge University Press
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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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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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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics)
High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics)
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Semiparametric Regression (Cambridge Series in Statistical and Probabilistic Mathematics): 12 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 12)
Semiparametric Regression (Cambridge Series in Statistical and Probabilistic Mathematics): 12 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 12)
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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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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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Probability on Trees and Networks: Series Number 42 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 42)
Probability on Trees and Networks: Series Number 42 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 42)
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Random Graph Dynamics: 20 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 20)
Random Graph Dynamics: 20 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 20)
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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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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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A Course in Interacting Particle Systems (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 59)
A Course in Interacting Particle Systems (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 59)
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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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Networks: Probability and Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 57)
Networks: Probability and Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 57)
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