‪Sen Tian‬ - ‪Google Scholar‬

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Cited by

	All	Since 2019
Citations	16	11
h-index	2	2
i10-index	1	0

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6

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20172018201920202021202220232 2 2 6 2 1

Co-authors

Robert B. GramacyVirginia TechVerified email at vt.edu
Clifford HurvichProfessor of Statistics, New York UniversityVerified email at stern.nyu.edu
Jeffrey S. SimonoffNew York UniversityVerified email at stern.nyu.edu
Panos IpeirotisNew York UnivesityVerified email at stern.nyu.edu
Matt TaddyAmazon

Sen Tian

Sen Tian

New York University

Verified email at stern.nyu.edu

statistics machine learning econometrics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Hockey player performance via regularized logistic regression RB Gramacy, M Taddy, S Tian Handbook of statistical methods and analyses in sports, 303-322, 2017	13	2017
Selection of regression models under linear restrictions for fixed and random designs S Tian, CM Hurvich, JS Simonoff arXiv preprint arXiv:2009.10029, 2020	2	2020
On the Use of Information Criteria for Subset Selection in Least Squares Regression S Tian, CM Hurvich, JS Simonoff arXiv preprint arXiv:1911.10191, 2019	1	2019
On the Predictability of Utilizing Rank Percentile to Evaluate Scientific Impact S Tian, P Ipeirotis arXiv preprint arXiv:2103.16025, 2021		2021
On the Usage of Rank Percentile in Evaluating and Predicting Scientific Impacts. S Tian, P Ipeirotis CoRR, 2021		2021
Three Essays in Data Analytics: Information Criteria for Least Squares Based Regression Methods, Best Orthogonalized Subset Selection, and Predicting Scientific Impacts S Tian New York University, 2020		2020

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Articles 1–6