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)
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Statistical Hypothesis Testing in Context – Reproducibility, Inference, and Science – Volume 52
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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)
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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)
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Predictive Statistics – Analysis and Inference beyond Models – Cambridge University Press
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Modern Discrete Probability An Essential Toolkit Roch Hardback 9781009305112
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A Course in Interacting Particle Systems (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 59)
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Brownian Motion: 30 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 30)
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Networks: Probability and Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 57)
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