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About the Sharing category
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1
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325
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May 31, 2017
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List of blogs from core devs?
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5
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124
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July 12, 2020
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Example notebook for truncated regression
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7
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203
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April 27, 2020
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Fitting a simple Reinforcement Learning model to behavioral data with PyMC3 (Jupyter NB)
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4
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144
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March 10, 2020
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Bayesian confirmatory factor analysis (CFA)
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1
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125
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January 19, 2020
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Bayesian Methods for Modeling Field Goals in NFL Football
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1
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141
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January 10, 2020
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A free online course on Probabilistic Programming and PyMC3
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2
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549
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December 13, 2019
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Bayesian Modeling of NFL Football Fourth Down Attempts with PyMC3
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2
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171
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December 12, 2019
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Hierarchical logistic regression
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18
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2380
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October 28, 2019
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Podcast to learn Bayesian statistics
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1
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242
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October 24, 2019
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Looking for a tutor for straight forward Bayesian Regression + PyMC3
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3
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217
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October 9, 2019
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Design of PyMC4 and PPL frameworks
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2
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223
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October 4, 2019
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Imputing Missing Spins (Andrew's Spinner/Rethinking)
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1
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100
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October 1, 2019
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Some notes on shape handling
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1
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137
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September 4, 2019
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A Comparison of Probabilistic Programming APIs
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1
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170
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July 24, 2019
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Hierarchical Bayesian Neural Networks with Informative Priors by @twiecki
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5
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890
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July 8, 2019
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Ohlssen, et al. paper in DPMM notebook
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3
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200
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June 27, 2019
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Introduction to Probabilistic Programming
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1
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193
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June 9, 2019
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My first publication with PyMC3
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8
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375
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May 30, 2019
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Learn Core Concepts of Bayesian Data Analysis
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1
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163
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May 13, 2019
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Series of posts on implementing Hamiltonian Monte Carlo
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3
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712
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April 28, 2019
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Prior propagation by nonparametric copulas
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1
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265
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April 26, 2019
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Probabilistic forecast of European elections in France
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9
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308
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April 16, 2019
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Gaussian processes
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1
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178
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March 14, 2019
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Tacking ISRS onto SVGD
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3
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168
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February 23, 2019
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Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs
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3
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373
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February 21, 2019
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Introduction to Bayesian Q-Learning
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2
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408
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February 17, 2019
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Dice, Polls & Dirichlet Multinomials
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4
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397
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February 17, 2019
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Advance Bayesian Modelling with PyMC3
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13
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2559
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January 18, 2019
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Intro Bayesian Regression using HMC & ADVI
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5
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686
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January 18, 2019
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