Michael Clark
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Categories
All (29)
bayesian (5)
boosting (5)
deep learning (6)
latent variables (4)
machine learning (8)
miscellaneous (6)
mixed models (8)
programming (1)
regression (12)
time series (1)

Models Demystified


Is Boosting Still All You Need for Tabular Data?

deep learning
machine learning
boosting

An update on the state of deep learning for tabular data, featuring practical model implementation.

Mar 1, 2026
Michael Clark

My Book is Out!

miscellaneous

A long journey finally culminates in a published book!

Aug 15, 2025
Michael Clark

Uncertainty Estimation with Conformal Prediction

machine learning
regression
boosting
bayesian

More options for uncertainty estimation

Jun 1, 2025
Michael Clark

Imbalanced Outcomes

machine learning
regression
boosting

Challenges and solutions for this common situation

Apr 7, 2025
Michael Clark

Some News for the New Year

miscellaneous

Fatherhood, a book on the way, a merger, and a long-overdue move to Quarto.

Jan 1, 2025
Michael Clark

Long time no see…

miscellaneous

New modeling book under way!

May 20, 2024
Michael Clark

Stuff Going On

miscellaneous

Penalty kicks, class imbalance, tabular deep learning, industry and academia

Mar 10, 2023
Michael Clark

Deep Linear Models

deep learning
boosting
regression
machine learning

A demonstration using pytorch

Oct 10, 2022
Michael Clark

Exploring Time

mixed models
regression
boosting
time series
deep learning

Demonstrating some times series approaches

Aug 10, 2022
Michael Clark

Programming Odds & Ends

programming

Explorations in faster data processing and other problems.

Jul 25, 2022
Michael Clark

Deep Learning for Tabular Data

deep learning
machine learning

A continuing exploration

May 1, 2022
Michael Clark

Double Descent

deep learning
machine learning

Rethinking what we thought we knew.

Nov 13, 2021
Michael Clark

This is definitely not all you need

deep learning
machine learning

A summary of findings regarding deep learning for tabular data.

Jul 19, 2021
Michael Clark

Practical Bayes Part I

bayesian

Dealing with common model problems.

Feb 28, 2021
Michael Clark

Practical Bayes Part II

bayesian

Taking a better approach and avoiding issues.

Feb 28, 2021
Michael Clark

Models by Example

regression
machine learning

Roll your own to understand more.

Nov 30, 2020
Michael Clark

Micro-macro models

mixed models
latent variables
regression

An analysis in the wrong direction? Predicting group level targets with lower level covariates.

Aug 31, 2020
Michael Clark

Exploratory Data Analysis

miscellaneous

Exploring how to explore data.

Jul 10, 2020
Michael Clark

Predictions with an offset

regression

Reconciling R and Stata Approaches

Jun 16, 2020
Michael Clark

Factor Analysis with the psych package

latent variables

Making sense of the results

Apr 10, 2020
Michael Clark

Exploring the Pandemic

miscellaneous

Processing and Visualizing Covid-19 Data

Mar 23, 2020
Michael Clark

Convergence Problems

regression
mixed models

Lack of convergence got ya down? A plan of attack.

Mar 16, 2020
Michael Clark

Categorical Effects as Random

mixed models

Exploring random slopes for categorical covariates and similar models

Mar 1, 2020
Michael Clark

Mixed Models for Big Data

regression
mixed models
bayesian

Explorations of a fast penalized regression approach with mgcv

Oct 20, 2019
Michael Clark

Fractional Regression

regression
mixed models

A quick primer regarding data between zero and one, including zero and one

Aug 20, 2019
Michael Clark

Comparisons of the Unseen

latent variables

Examining group differences across latent variables

Aug 5, 2019
Michael Clark

Empirical Bayes

bayesian
regression
mixed models

Revisiting an old post

Jun 21, 2019
Michael Clark

Shrinkage in Mixed Effects Models

regression
mixed models

A demonstration of random effects

May 14, 2019
Michael Clark

Mediation Models

latent variables

Various package options for conducting mediation analysis

Mar 12, 2019
Michael Clark
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    Citation

    BibTeX citation:
    @online{untitled,
      author = {},
      title = {Models {Demystified}},
      url = {https://m-clark.github.io/},
      langid = {en}
    }
    
    For attribution, please cite this work as:
    “Models Demystified.” n.d. https://m-clark.github.io/.