List: pymc3 | Curated by Alex MacMillan

Feb 14, 2023
16 stories
pymc3
ODSC - Open Data Science
Incremental Development of PyMC ModelsPyMC is a powerful tool for doing Bayesian statistics, but getting started can be intimidating. This article presents an example that I…
Aug 9, 2021
1
Aug 9, 2021
1
Adolfo Martínez
A “quick” introduction to PyMC3 and Bayesian models, Part IIn my last post, I talked about Bayesian Statistics and how they can help us quantify uncertainty in data analysis. In this post, I give a…
Oct 20, 2017
4
Oct 20, 2017
4
In
TDS Archive
by
Matteo Courthoud
The Bayesian BootstrapA short guide to a simple and powerful extension of the bootstrap
Aug 8, 2022
5
Aug 8, 2022
5
In
TDS Archive
by
Adam Rysanek
Towards better estimates of recovered COVID-19 casesA call for a little more Bayesian thinking in our public discourse
May 5, 2020
May 5, 2020
In
TDS Archive
by
Matthew Bitter
Bayesian Modeling to Improve Price Elasticity AccuracyUsing a Bayesian approach to improve price elasticity with an example from the Consumer Packaged Goods Industry
Dec 10, 2019
4
Dec 10, 2019
4
In
TDS Archive
by
Dr. Robert Kübler
Bayesian Hierarchical Modeling in PyMCCuring your model’s amnesia
Aug 24, 2021
2
Aug 24, 2021
2
In
TDS Archive
by
Tom Leyshon
The ABCs of Approximate Bayesian ComputationAn introduction into parameter inference using Approximate Bayesian Computational methods.
Mar 14, 2021
3
Mar 14, 2021
3
In
TDS Archive
by
Will Koehrsen
Markov Chain Monte Carlo in PythonA Complete Real-World Implementation
Feb 10, 2018
25
Feb 10, 2018
25
In
TDS Archive
by
Shota Horii
A Gentle Introduction to Maximum Likelihood Estimation and Maximum A Posteriori EstimationGetting intuition of MLE and MAP with a football example
Jun 11, 2019
19
Jun 11, 2019
19
In
TDS Archive
by
Heiko Onnen
Python Scenario Analysis: Modeling Expert Estimates with the beta-PERT DistributionAnd How to Add a New, User-Defined Distribution to SciPy’s Catalogue
Oct 25, 2021
1
Oct 25, 2021
1
In
TDS Archive
by
Heiko Onnen
Monte Carlo Simulations with Correlated Variables in PythonThe MCerp Package for MC Simulations, with Correlations Generated by the Iman-Conover Method
Oct 27, 2021
1
Oct 27, 2021
1
In
TDS Archive
by
Michael Grogan
Analysing Posterior Predictive Distributions with PyMC3Using PyMC3 to model posterior distributions
Mar 30, 2021
Mar 30, 2021
In
TDS Archive
by
Susan Li
Hands On Bayesian Statistics with Python, PyMC3 & ArviZGaussian Inferences, Posterior Predictive Checks, Group Comparison, Hierarchical Linear Regression
Jul 17, 2019
13
Jul 17, 2019
13
In
TDS Archive
by
Dr. Robert Kübler
Bayesian A/B Testing in PyMC3
May 30, 2021
6
May 30, 2021
6
In
TDS Archive
by
Dr. Robert Kübler
Conducting Bayesian Inference in Python using PyMC3Revisiting the coin example and using PyMC3 to solve it computationally.
Dec 23, 2020
2
Dec 23, 2020
2
In
TDS Archive
by
Will Koehrsen
Estimating Probabilities with Bayesian Modeling in PythonA simple application of Probabilistic Programming with PyMC3 in Python
Nov 28, 2018
23
Nov 28, 2018
23