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Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space
We consider off-policy evaluation (OPE) in continuous action domains, su...
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Statistical Inference for Online Decision Making via Stochastic Gradient Descent
Online decision making aims to learn the optimal decision rule by making...
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Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting
Online decision-making problem requires us to make a sequence of decisio...
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Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
In this article, we propose novel structural nested models to estimate c...
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Kernel Assisted Learning for Personalized Dose Finding
An individualized dose rule recommends a dose level within a continuous ...
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A New Framework for Online Testing of Heterogeneous Treatment Effect
We propose a new framework for online testing of heterogeneous treatment...
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Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
The Markov assumption (MA) is fundamental to the empirical validity of r...
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Post-Lasso Inference for High-Dimensional Regression
Among the most popular variable selection procedures in high-dimensional...
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MM Algorithms for Variance Component Estimation and Selection in Logistic Linear Mixed Model
Logistic linear mixed model is widely used in experimental designs and g...
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Efficient Estimation for Dimension Reduction with Censored Data
We propose a general index model for survival data, which generalizes ma...
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Robust Learning for Optimal Treatment Decision with NP-Dimensionality
In order to identify important variables that are involved in making opt...
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Sequential Advantage Selection for Optimal Treatment Regimes
Variable selection for optimal treatment regime in a clinical trial or a...
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