Models Demystified


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

Among many things that have happened recently, I’ve become a father to a beautiful baby girl, and written a book to come out this year (2025). Fun stuff!
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
GLM
regression
machine learning
A demonstration using pytorch
Oct 10, 2022
Michael Clark

Exploring Time

mixed models
GAM
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
SEM
regression
factor analysis
An analysis in the wrong direction? Predicting group level targets with lower level covariates.
Aug 31, 2020
Michael Clark

Exploratory Data Analysis

exploratory data analysis
Exploring how to explore data.
Jul 10, 2020
Michael Clark

Predictions with an offset

regression
GLM
Reconciling R and Stata Approaches
Jun 16, 2020
Michael Clark

Factor Analysis with the psych package

factor analysis
reliability
Making sense of the results
Apr 10, 2020
Michael Clark

Exploring the Pandemic

visualization
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

GAM
mixed models
big data
bayesian
Explorations of a fast penalized regression approach with mgcv
Oct 20, 2019
Michael Clark

Fractional Regression

regression
GLM
mixed models
A quick primer regarding data between zero and one, including zero and one
Aug 20, 2019
Michael Clark

Comparisons of the Unseen

SEM
factor analysis
Examining group differences across latent variables
Aug 5, 2019
Michael Clark

Empirical Bayes

empirical bayes
regression
mixed models
bayesian
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

SEM
mediation
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/.