Xiaoou Li

Statistics and Probability · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 46 citations into it
• Management Science and Operations Research — 31 citations into it
• Computer Networks and Communications — 19 citations into it
• Artificial Intelligence — 14 citations into it
• Experimental and Cognitive Psychology — 11 citations into it
• Computational Mechanics — 8 citations into it
• Statistical Learning Theory — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Xiaoou Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Eric R. Ziegel
2. Neal Parikh
3. M. Reckase
4. Per-Åke Wedin
5. L. Corrado
6. John A. Johnson
7. Irini Moustaki
8. Michael W. Browne
9. Jushan Bai
10. Stephen P. Boyd

Papers from Xiaoou Li's perspective

Ordered by how strongly the researchers Xiaoou Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Generalized Linear Models
2. Proximal Algorithms
3. Matrix Completion With Noise
4. Item Response Theory for Psychologists
5. Statistical Inference in Factor Analysis
6. 1-Bit Matrix Completion (arXiv.org)
7. Generalized latent variable models: multilevel, longitudinal, and structural equation models
8. Generalized latent trait models
9. An Introduction to Multivariate Statistical Analysis
10. Item response theory and clinical measurement. (Annual Review of Clinical Psychology)

Their papers

• Item Response Theory—A Statistical Framework for Educational and Psychological Measurement (2021) — 49 citations
• Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications (2017) — 72 citations