activity
20202023
most citedPersonalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023★ 4 cited

Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning

Rui Miao, Zhengling Qi, Cong Shi +1

Pricing based on individual customer characteristics is widely used to maximize sellers' revenues. This work studies offline personalized pricing under endogeneity using an instrum…

stat.ML2022★ 1 cited

Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models

Rui Miao, Zhengling Qi, Xiaoke Zhang

We study the problem of off-policy evaluation (OPE) for episodic Partially Observable Markov Decision Processes (POMDPs) with continuous states. Motivated by the recently proposed…

stat.ME2021

Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding

Zhengling Qi, Rui Miao, Xiaoke Zhang

Data-driven individualized decision making has recently received increasing research interests. Most existing methods rely on the assumption of no unmeasured confounding, which unf…

stat.ME2020

A Wavelet-Based Independence Test for Functional Data with an Application to MEG Functional Connectivity

Rui Miao, Xiaoke Zhang, Raymond K. W. Wong

Measuring and testing the dependency between multiple random functions is often an important task in functional data analysis. In the literature, a model-based method relies on a m…

stat.AP2020

Average Treatment Effect Estimation in Observational Studies with Functional Covariates

Rui Miao, Wu Xue, Xiaoke Zhang

Functional data analysis is an important area in modern statistics and has been successfully applied in many fields. Although many scientific studies aim to find causations, a pred…