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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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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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Behavioral Social Choice: Probabilistic Models, Statistical Inference, and Applications
Behavioral Social Choice: Probabilistic Models, Statistical Inference, and Applications
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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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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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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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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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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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Essentials of Statistical Inference
Essentials of Statistical Inference
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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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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 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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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 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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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 Roch Hardback 9781009305112
Modern Discrete Probability An Essential Toolkit Roch Hardback 9781009305112
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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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Markov Chains – Cambridge Series in Statistical and Probabilistic Mathematics, Series No. 2
Markov Chains – Cambridge Series in Statistical and Probabilistic Mathematics, Series No. 2
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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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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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Design of Comparative Experiments: 25 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 25)
Design of Comparative Experiments: 25 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 25)
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Data Analysis and Graphics Using R: An Example-based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
Data Analysis and Graphics Using R: An Example-based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10)
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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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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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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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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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High-Dimensional Probability – An Introduction with Applications in Data Science
High-Dimensional Probability – An Introduction with Applications in Data Science
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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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Brownian Motion: 30 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 30)
Brownian Motion: 30 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 30)
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Model Selection and Model Averaging: 27 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 27)
Model Selection and Model Averaging: 27 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 27)
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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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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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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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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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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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