List: Bayesian stuff | Curated by Aleksander Molak

Jun 11, 2023

17 stories

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Bayesian stuff
In
TDS Archive
by
Erdogan Taskesen
The Power of Bayesian Causal Inference: A Comparative Analysis of Libraries to Reveal Hidden…Reveal the hidden causal variables in your data set by using the best-suited Bayesian causal inference library: a comparison with hands-on…
May 22, 2023
385
3
May 22, 2023
385
3
In
TDS Archive
by
Dr. Robert Kübler
Convenient Bayesian Marketing Mix Modeling With PyMC MarketingA new and shiny library from the PyMC team worth trying out
Apr 13, 2023
118
5
Apr 13, 2023
118
5
In
TDS Archive
by
Avishek Nag
Reinforcement Learning vs Bayesian Optimization: when to use whatA comparative study of RL vs Bayesian approach for optimization solution
Jun 30, 2021
153
2
Jun 30, 2021
153
2
In
TDS Archive
by
Pedro Martins de Bastos
How to pick products on Amazon (using bayesian statistics to help you decide)A Case Study of Using Bayesian Inference for Decision Making
Nov 15, 2022
154
3
Nov 15, 2022
154
3
In
TDS Archive
by
Kaan Bıçakcı
Bayesian Inference and TransformersCan Transformers help doing Bayesian Inference? A simple review of Transformers Can Do Bayesian Inference
Aug 22, 2022
125
Aug 22, 2022
125
In
TDS Archive
by
Dr. Robert Kübler
Learning to Rank the Bayesian WayImplement the Bradley–Terry model in PyMC
Aug 9, 2022
245
6
Aug 9, 2022
245
6
In
TDS Archive
by
Blake Arnold
Exploring Bayesian A/B testing with simulationsUsing Monte Carlo simulations to understand why Bayesian A/B testing matters and how to set it up at your company.
Nov 25, 2019
656
1
Nov 25, 2019
656
1
In
travel audience
by
Dr. Ville Lahtinen
Constrained budget allocation with Bayesian banditsPutting your clients’ advertising budgets into optimal use
Jun 10, 2022
48
1
Jun 10, 2022
48
1
 This story is no longer available
In
TDS Archive
by
Egor Howell
Bayesian Credible Intervals Simply ExplainedA concise description of Bayesian credible intervals and how to implement them in Python
Aug 8, 2022
164
Aug 8, 2022
164
In
HelloTech
by
Luca Fiaschi
Bayesian Media Mix Modeling using PyMC3, for Fun and ProfitMichael Johns, Zhenyu Wang, Bruno Dupont, and Luca Fiaschi
Aug 24, 2020
325
7
Aug 24, 2020
325
7
In
Artefact Engineering and Data Science
by
João Henrique Romeiro Alves
Bayesian Media Mix Modelling with limited dataOr how not to waste prior knowledge
Aug 29, 2022
620
2
Aug 29, 2022
620
2
In
TDS Archive
by
Dr. Robert Kübler
Bayesian Hierarchical Marketing Mix Modeling in PyMCLearn how to build MMMs for different countries the right way
Jul 25, 2022
283
7
Jul 25, 2022
283
7
In
TDS Archive
by
Jake
Bayesian Price Optimization with PyMC3PyMC3, Killer Visualizations, and Probabilistic Decision Making
Dec 8, 2021
287
5
Dec 8, 2021
287
5
In
TDS Archive
by
Emrick Sinitambirivoutin
An introduction to Variational Auto Encoders (VAEs)Understanding Variational Autoencoders (VAEs) from theory to practice using PyTorch (code available).
Jun 17, 2020
71
3
Jun 17, 2020
71
3
In
TDS Archive
by
Prashnna K. Gyawali
Disentanglement with Variational Autoencoder: A ReviewLearning of interpretable factorized representation has been around in machine learning for quite a time. But with the recent advancement…
Nov 28, 2018
380
3
Nov 28, 2018
380
3
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
2.7K
13
Jul 17, 2019
2.7K
13

Responses

Bayesian stuff

The Power of Bayesian Causal Inference: A Comparative Analysis of Libraries to Reveal Hidden…

Reveal the hidden causal variables in your data set by using the best-suited Bayesian causal inference library: a comparison with hands-on…

Convenient Bayesian Marketing Mix Modeling With PyMC Marketing

A new and shiny library from the PyMC team worth trying out

Reinforcement Learning vs Bayesian Optimization: when to use what

A comparative study of RL vs Bayesian approach for optimization solution

How to pick products on Amazon (using bayesian statistics to help you decide)

A Case Study of Using Bayesian Inference for Decision Making

Bayesian Inference and Transformers

Can Transformers help doing Bayesian Inference? A simple review of Transformers Can Do Bayesian Inference

Learning to Rank the Bayesian Way

Implement the Bradley–Terry model in PyMC

Exploring Bayesian A/B testing with simulations

Using Monte Carlo simulations to understand why Bayesian A/B testing matters and how to set it up at your company.

Constrained budget allocation with Bayesian bandits

Putting your clients’ advertising budgets into optimal use

Bayesian Credible Intervals Simply Explained

A concise description of Bayesian credible intervals and how to implement them in Python

Bayesian Media Mix Modeling using PyMC3, for Fun and Profit

Michael Johns, Zhenyu Wang, Bruno Dupont, and Luca Fiaschi

Bayesian Media Mix Modelling with limited data

Or how not to waste prior knowledge

Bayesian Hierarchical Marketing Mix Modeling in PyMC

Learn how to build MMMs for different countries the right way

Bayesian Price Optimization with PyMC3

PyMC3, Killer Visualizations, and Probabilistic Decision Making

An introduction to Variational Auto Encoders (VAEs)

Understanding Variational Autoencoders (VAEs) from theory to practice using PyTorch (code available).

Disentanglement with Variational Autoencoder: A Review

Learning of interpretable factorized representation has been around in machine learning for quite a time. But with the recent advancement…

Hands On Bayesian Statistics with Python, PyMC3 & ArviZ

Gaussian Inferences, Posterior Predictive Checks, Group Comparison, Hierarchical Linear Regression

Aleksander Molak

NLP

Optimization

Causality