Long time no see...
New modeling book under way!
Stuff Going On
Penalty kicks, class imbalance, tabular deep learning, industry and acadmia
Deep Linear Models
A demonstration using pytorch
Exploring Time
Multiple avenues to time-series analysis
Programming Odds & Ends
Explorations in faster data processing and other problems.
Deep Learning for Tabular Data
A continuing exploration
Double Descent
Rethinking what we thought we knew.
This is definitely not all you need
A summary of findings regarding deep learning for tabular data.
Practical Bayes Part I
Dealing with common model problems.
Practical Bayes Part II
Taking a better approach and avoiding issues.
Models by Example
Roll your own to understand more.
Micro-macro models
An analysis in the wrong direction? Predicting group level targets with lower level covariates.
Exploratory Data Analysis
Recently, Staniak & Biecek (2019) wrote an article in the R Journal exploring several of such packages, so I thought I'd try them out for myself, and take others along with me for that ride.
Predictions with an offset
Reconciling R and Stata Approaches
Exploring the Pandemic
Processing and Visualizing Covid-19 Data
Factor Analysis with the psych package
Making sense of the results
Convergence Problems
Lack of convergence got ya down? A plan of attack.
Categorical Effects as Random
Exploring random slopes for categorical covariates and similar models
Mixed Models for Big Data
Explorations of a fast penalized regression approach with mgcv
Fractional Regression
A quick primer regarding data between zero and one, including zero and one
Comparisons of the Unseen
Examining group differences across latent variables
Empirical Bayes
Revisiting an old post
Shrinkage in Mixed Effects Models
A demonstration of random effects
Mediation Models
Various package options for conducting mediation analysis
Radix
Using Radix/Distill for Scientific Publishing or a Website
