Ruoxuan Xiong

Stanford University

655 Knight Way

Stanford, CA 94305-9025

United States

  • Stanford University

SCHOLARLY PAPERS

7

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16

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12

Scholarly Papers (7)

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1.

Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference

Number of pages: 47 Posted: 28 Oct 2019 Last Revised: 10 Nov 2021
Ruoxuan Xiong and Markus Pelger
Stanford University and Stanford University - Department of Management Science & Engineering
Downloads 596 (59,344)
Citation 4

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Factor Analysis, Principal Components, Synthetic Control, Causal Inference, Treatment Effect, Missing Entry, Large-Dimensional Panel Data, Large N and T, Matrix Completion

2.

State-Varying Factor Models of Large Dimensions

Number of pages: 36 Posted: 01 Feb 2018 Last Revised: 15 Oct 2020
Markus Pelger and Ruoxuan Xiong
Stanford University - Department of Management Science & Engineering and Stanford University
Downloads 403 (95,162)
Citation 11

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Factor Analysis, Principle Components, State-Varying, Nonparametric, Kernel-Regression, Large-Dimensional Panel Data, Large N and T

3.

Optimal Experimental Design for Staggered Rollouts

Number of pages: 72 Posted: 20 Nov 2019 Last Revised: 10 Jan 2022
Ruoxuan Xiong, Susan Athey, Mohsen Bayati and Guido W. Imbens
Stanford University, Stanford Graduate School of Business, Stanford Graduate School of Business and Stanford Graduate School of Business
Downloads 341 (114,942)
Citation 4

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Sequential Experiments, Treatment Effect Estimation, Carryover Effects, Panel Data, Dynamic programming

4.

Interpretable Sparse Proximate Factors for Large Dimensions

Number of pages: 81 Posted: 21 May 2018 Last Revised: 08 Jul 2021
Markus Pelger and Ruoxuan Xiong
Stanford University - Department of Management Science & Engineering and Stanford University
Downloads 251 (158,480)
Citation 7

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Factor Analysis, Principle Components, Sparse Loading, Interpretability, Large-Dimensional Panel Data, Large N and T

5.

Federated Causal Inference in Heterogeneous Observational Data

Stanford University Graduate School of Business Research Paper
Number of pages: 77 Posted: 09 Aug 2021 Last Revised: 25 Aug 2021
Ruoxuan Xiong, Allison Koenecke, Michael Powell, Zhu Shen, Joshua T. Vogelstein and Susan Athey
Stanford University, Stanford University, Johns Hopkins University, Stanford University, Johns Hopkins University and Stanford Graduate School of Business
Downloads 102 (333,834)

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Causal Inference, Propensity Scores, Federated Learning, Multiple Data Sets

6.

Internet Appendix for State-Varying Factor Models of Large Dimensions

Number of pages: 84 Posted: 08 Dec 2020
Markus Pelger and Ruoxuan Xiong
Stanford University - Department of Management Science & Engineering and Stanford University
Downloads 33 (573,655)

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Factor Analysis, Principal Components, State-Varying, Nonparametric, Kernel- Regression, Large-Dimensional Panel Data, Large N and T

7.

Internet Appendix to Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference

Number of pages: 103 Posted: 14 Jan 2021 Last Revised: 10 Nov 2021
Ruoxuan Xiong and Markus Pelger
Stanford University and Stanford University - Department of Management Science & Engineering
Downloads 17 (679,207)
Citation 3

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Factor Analysis, Principal Components, Synthetic Control, Causal Inference, Treatment Effect, Missing Entry, Large-Dimensional Panel Data, Large N and T , Matrix Completion