Stanford “Statistics and Information Theory” lecture notes PDF: web.stanford.edu/class/stats311… (audio generated by NotebookLM)

Debiased Semiparametric Efficient Changes-in-Changes Estimation. arxiv.org/abs/2507.07228

Continuous difference-in-differences with double/debiased machine learning. arxiv.org/abs/2408.10509

Formalising causal inference as prediction on a target population. arxiv.org/abs/2407.17385

Nonparametric regression for cost-effectiveness analyses with observational data - a tutorial. arxiv.org/abs/2507.03511

Continuous difference-in-differences with double/debiased machine learning. arxiv.org/abs/2408.10509

Forthcoming book in town! "Mathematical Foundations of Deep Learning Models and Algorithms" HP: mathdl.github.io Publisher: bookstore.ams.org/view?ProductCo…

Synthetic Difference in Differences. arxiv.org/abs/1812.09970

Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects. arxiv.org/abs/2310.18563

UC Berkeley's "Theoretical Statistics" PDF:stat.berkeley.edu/~aditya/resour…

For difference-in-differences methods, there has been great attention to obtaining consistent estimates of treatment effects, especially when the treatment effects are heterogeneous, from Partha Deb, Edward Norton, Jeffrey M. Wooldridge, and Jeffrey E. Zabel

E-values are a modern alternative to p-values for hypothesis testing. Unlike p-values, they allow for anytime-valid inference, meaning you can continuously monitor a data stream and stop the test at any time without invalidating the results. In machine learning, this is crucial

Continuous difference-in-differences with double/debiased machine learning. arxiv.org/abs/2408.10509

Forthcoming book in town for late Dex. 25! "Mathematical Foundations of Deep Learning Models and Algorithms" HP with material: mathdl.github.io Check it out!

Causal Inference with Groupwise Matching. arxiv.org/abs/2510.26106

Specification tests for regression models with measurement errors. arxiv.org/abs/2511.04127

Asymptotically Unbiased Synthetic Control Methods by Moment Matching. arxiv.org/abs/2307.11127

Cool new working paper worth checking out: "Cross-Validated Causal Inference: a Modern Method to Combine Experimental and Observational Data" arxiv.org/pdf/2511.00727