What to do when everything happens at once: analytic approaches to estimate the health effects of co-occurring social policies
EC Matthay, LM Gottlieb, D Rehkopf… - Epidemiologic …, 2021 - academic.oup.com
Social policies have great potential to improve population health and reduce health
disparities. Increasingly, those doing empirical research have sought to quantify the health …
disparities. Increasingly, those doing empirical research have sought to quantify the health …
Statistical inference of the value function for reinforcement learning in infinite-horizon settings
Reinforcement learning is a general technique that allows an agent to learn an optimal
policy and interact with an environment in sequential decision-making problems. The …
policy and interact with an environment in sequential decision-making problems. The …
[HTML][HTML] In defense of the indefensible: A very naive approach to high-dimensional inference
A great deal of interest has recently focused on conducting inference on the parameters in a
high-dimensional linear model. In this paper, we consider a simple and very naïve two-step …
high-dimensional linear model. In this paper, we consider a simple and very naïve two-step …
Breaking the Curse of Nonregularity with Subagging---Inference of the Mean Outcome under Optimal Treatment Regimes
Precision medicine is an emerging medical approach that allows physicians to select the
treatment options based on individual patient information. The goal of precision medicine is …
treatment options based on individual patient information. The goal of precision medicine is …
Reprint: Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic
Mediation analysis draws increasing attention in many research areas such as economics,
finance and social sciences. In this paper, we propose new statistical inference procedures …
finance and social sciences. In this paper, we propose new statistical inference procedures …
Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic
Mediation analysis draws increasing attention in many research areas such as economics,
finance and social sciences. In this paper, we propose new statistical inference procedures …
finance and social sciences. In this paper, we propose new statistical inference procedures …
Success factors in national team football: an analysis of the UEFA EURO 2020
Identifying success factors in football is of sporting and economic interest. However,
research in this field for national teams and their competitions is rare despite the popularity …
research in this field for national teams and their competitions is rare despite the popularity …
Estimation and inference for high dimensional generalized linear models: A splitting and smoothing approach
The focus of modern biomedical studies has gradually shifted to explanation and estimation
of joint effects of high dimensional predictors on disease risks. Quantifying uncertainty in …
of joint effects of high dimensional predictors on disease risks. Quantifying uncertainty in …
Neighborhood-based cross fitting approach to treatment effects with high-dimensional data
OD Agboola, H Yu - Computational Statistics & Data Analysis, 2023 - Elsevier
High-dimensional data are increasingly popular in various physical, biological and social
disciplines. A common existing approach of repeatedly splitting data was suggested to …
disciplines. A common existing approach of repeatedly splitting data was suggested to …
Statistical inference via conditional Bayesian posteriors in high-dimensional linear regression
We propose a new method under the Bayesian framework to perform valid inference for low
dimensional parameters in high dimensional linear models under sparsity constraints. Our …
dimensional parameters in high dimensional linear models under sparsity constraints. Our …