Changliang Shao
Statistics and Probability · 2016
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 14 citations into it
- Management Science and Operations Research — 10 citations into it
- Artificial Intelligence — 7 citations into it
- Ecological Modeling — 7 citations into it
- Nature and Landscape Conservation — 7 citations into it
- Computer Networks and Communications — 6 citations into it
Whom Changliang Shao trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Grace (in Nature and Landscape Conservation)
- Judea Pearl (in Statistics and Probability)
- Snigdhansu Chatterjee (in Computer Networks and Communications)
- Kevin Kim (in Management Science and Operations Research)
- Timothy A. Brown (in Experimental and Cognitive Psychology)
- Barbara M. Byrne (in Artificial Intelligence)
- J. Lefcheck (in Nature and Landscape Conservation)
- Hirotugu Akaike (in Evaluation & Benchmarks)
- Yves Rosseel (in Computer Networks and Communications)
- Sik-Yum Lee (in Accounting)
Papers from Changliang Shao's perspective
Ordered by how strongly the researchers Changliang Shao trusts endorse each paper. Same corpus, a different order for every researcher.
- The Causal Foundations of Structural Equation Modeling
- A new look at the statistical model identification
- lavaan: An R Package for Structural Equation Modeling
- Estimating the Dimension of a Model
- Structural Equation Modeling and Natural Systems
- Structural equation modeling with EQS : basic concepts, applications, and programming
- Causality : Models , Reasoning , and Inference
- Sensitivity of Fit Indexes to Misspecified Structural or Measurement Model Components: Rationale of Two-Index Strategy Revisited
- Model selection and multimodel inference : a practical information-theoretic approach
- On the specification of structural equation models for ecological systems.
Their papers
- Applications of structural equation modeling (SEM) in ecological studies: an updated review (2016) — 1,297 citations