3 papers
cs.AI2026
FLARE MCMC: Fidelity-based Layer-Adaptive REcursive proposals for MCMC
Harini Venkatesan, Christian Shelton, Ming-Feng Ho +2
Markov chain Monte Carlo (MCMC) requires only the ability to evaluate the likelihood, making it a common technique for inference in complex models. However, it can have a slow mixi…
stat.ME2026
Efficient semiparametric estimation of marginal treatment effects with genetic instrumental variables
Ashish Patel, Francis J DiTraglia, Stephen Burgess
Alcohol misuse is a key target of public health strategies aimed at reducing cardiovascular risk. The effect of excessive alcohol consumption on blood pressure may vary systematica…
econ.EM2025
Bayesian Double Machine Learning for Causal Inference
Francis J. DiTraglia, Laura Liu
This paper proposes a simple, novel, and fully-Bayesian approach for causal inference in partially linear models with high-dimensional control variables. Off-the-shelf machine lear…