Siliang Zhang

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 9 citations into it
• Computational Mechanics — 5 citations into it

Whom Siliang Zhang trusts overall

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

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

Papers from Siliang Zhang's perspective

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

1. Generalized Linear Models
2. Matrix Completion With Noise
3. Proximal Algorithms
4. Statistical Inference in Factor Analysis
5. STATISTICAL ANALYSIS OF FACTOR MODELS OF HIGH DIMENSION
6. 1-Bit Matrix Completion (arXiv.org)
7. Item Response Theory for Psychologists
8. Generalized latent variable models: multilevel, longitudinal, and structural equation models
9. Measuring thirty facets of the Five Factor Model with a 120-item public domain inventory: Development of the IPIP-NEO-120
10. Generalized latent trait models

Their papers

• Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications (2017) — 72 citations