Jingchen Liu

Statistics and Probability · with Chen · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 43 citations into it
• Management Science and Operations Research — 29 citations into it
• Computer Networks and Communications — 16 citations into it
• Artificial Intelligence — 14 citations into it
• Optimization & Training — 7 citations into it
• Computational Mechanics — 5 citations into it

Whom Jingchen Liu trusts overall

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

1. Eric R. Ziegel
2. Jerome H. Friedman
3. Michael W. Browne
4. Robert Tibshirani
5. S. Reise
6. Neal Parikh

Papers from Jingchen Liu's perspective

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

1. Regularization Paths for Generalized Linear Models via Coordinate Descent
2. Generalized Linear Models
3. PATHWISE COORDINATE OPTIMIZATION
4. Item Response Theory for Psychologists
5. Proximal Algorithms
6. Item response theory and clinical measurement. (Annual Review of Clinical Psychology)
7. An Overview of Analytic Rotation in Exploratory Factor Analysis
8. The Patient-Reported Outcomes Measurement Information System (PROMIS): Progress of an NIH Roadmap Cooperative Group During its First Two Years (Medical Care)
9. MCMC estimation and some model-fit analysis of multidimensional IRT models
10. X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling

Their papers

• Item Response Theory—A Statistical Framework for Educational and Psychological Measurement (2021) — 49 citations
• Latent Variable Selection for Multidimensional Item Response Theory Models via $$L_{1}$$L1 Regularization (2016) — 50 citations