Eduardo Coronado Sroka – Medium

Eduardo Coronado Sroka

Eduardo Coronado Sroka
in
Towards Data Science

Evaluating Bayesian Mixed Models in R/Python

Learn what is meant by “posterior predictive checks” and how to visually assess model performance

Jul 3, 2020

Evaluating Bayesian Mixed Models in R/Python

Jul 3, 2020

Eduardo Coronado Sroka
in
Towards Data Science

A Bayesian Approach to Linear Mixed Models (LMM) in R/Python

Implementing these can be simpler than you think

Jun 22, 2020

A Bayesian Approach to Linear Mixed Models (LMM) in R/Python

Jun 22, 2020

Eduardo Coronado Sroka
in
Towards Data Science

When Mixed Effects (Hierarchical) Models Fail: Pooling and Uncertainty

An intuitive and visual guide where partial-pooling becomes troublesome and Bayesian methods can help quantify uncertainty

Jun 9, 2020

When Mixed Effects (Hierarchical) Models Fail: Pooling and Uncertainty

Jun 9, 2020

Eduardo Coronado Sroka
in
Towards Data Science

Don’t be Afraid of Nonparametric Topic Models (Part 2: Python)

Ready to up your modeling game? Dive into an easy step-by-step tutorial on how to implement/evaluate a Hierarchical Dirichlet Process model

May 27, 2020

Don’t be Afraid of Nonparametric Topic Models (Part 2: Python)

May 27, 2020

Eduardo Coronado Sroka
in
Towards Data Science

Don’t be Afraid of Nonparametric Topic Models

Forget LDA, learn a powerful technique for uncovering an unlimited number of latent topics in text data without the headache.

May 12, 2020

Don’t be Afraid of Nonparametric Topic Models

May 12, 2020

Eduardo Coronado Sroka

Eduardo Coronado Sroka

Duke MSc Stats | Views = own | Passionate about responsible and well-founded uses of data analytics | Website: ecoronado92.github.io

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