Tsung-I Lin
Statistics and Probability · 2007–2014
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 30 citations into it; #8,677 of 12,932 by trust here, #11,487 by citations
- Artificial Intelligence — 13 citations into it; #23,622 of 35,345 by trust here, #20,377 by citations
- Probabilistic & Bayesian Methods — 7 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Tsung-I Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- P. Deb
- Bernard Walter Silverman
- Matthew Stephens
- Adelchi Azzalini
- Bradley Efron
- Hirotogu Akaike
- M. Chris Jones
- Arjun K. Gupta
- A. Capitanio
- P. Stephen
Who trusts Tsung-I Lin overall
Papers from Tsung-I Lin's perspective
Ordered by how strongly the researchers Tsung-I Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- A multivariate skew normal distribution
- Bayesian Density Estimation and Inference Using Mixtures
- Information Theory and an Extension of the Maximum Likelihood Principle
- Skew-elliptical distributions and their applications : a journey beyond normality
- Inference from Iterative Simulation Using Multiple Sequences
- Bayesian analysis of mixture models with an unknown number of components- an alternative to reversible jump methods
- Density Estimation for Statistics and Data Analysis
- Statistical applications of the multivariate skew normal distribution
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
Their papers
- Automated high-dimensional flow cytometric data analysis (2009) — 448 citations
- Some results on the truncated multivariate t distribution (2012) — 79 citations
- A Skew-Normal Mixture Regression Model (2014) — 46 citations
- Finite mixture modelling using the skew normal distribution (2007) — 237 citations