Xianming Tan
Statistics and Probability · 2008–2013
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 14 citations into it; #3,825 of 12,932 by trust here, #5,294 by citations
- Artificial Intelligence — 7 citations into it; #10,892 of 35,345 by trust here, #20,377 by citations
Whom Xianming Tan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephanie T. Lanza
- P. Deb
- Hirotugu Akaike
- C. Anderson‐Cook
- Simon J. Sheather
- Linda M. Collins
- Geoffrey J. McLachlan
- Gitta H. Lubke
- H. Petras
- Drew A. Linzer
Who trusts Xianming Tan overall
- Jiahua Chen
- Alexandre J. S. Morin
- Jeroen K. Vermunt
- John P. Meyer
- Zsuzsa Bakk
- Zachary K. Collier
- Karen Nylund-Gibson
- P. Perrig-Chiello
- Allison S. Gabriel
Papers from Xianming Tan's perspective
Ordered by how strongly the researchers Xianming Tan trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- Group-Based Modeling of Development
- A new look at the statistical model identification
- Categorical Data Analysis
- Analysis of Incomplete Multivariate Data (Technometrics)
- Residual Diagnostics for Growth Mixture Models
- Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
- General Growth Mixture Analysis with Antecedents and Consequences of Change
- Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters.
- Modeling Uncertainty in Latent Class Membership: A Case Study in Criminology
Their papers
- Latent Class Analysis With Distal Outcomes: A Flexible Model-Based Approach (2013) — 697 citations
- INFERENCE FOR NORMAL MIXTURES IN MEAN AND VARIANCE (2008) — 98 citations