A tech blog on causal inference, algorithmic decision making, and numerical computing.

Sparse Model Matrix Optimizations in C++

Using Rcpp to decrease memory usage and increase throughput.

R is a great Research Environment

A thoughtful exposition on how R makes data scientists more productive.

The Mathematics of the Elastic Net

OLS with L1 and L2 penalties.

The Special Equivalence between Tikhonov Regularization and Gaussian Priors

Straddling Bayesian and Frequentist Statistics.

Choose RMarkdown + Distill for writing a Tech Blog

RMarkdown and Distill are powerful tools for scientific communication.

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A tech blog on causal inference, algorithmic decision making, and numerical computing.