Lan Gong
Statistics and Probability · 2015
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 12 citations into it
- Management Science and Operations Research — 8 citations into it
- Artificial Intelligence — 5 citations into it
Whom Lan Gong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hirotugu Akaike
- P. Deb
- Nicole A. Lazar
- M. Barassi
- Gordon E. Willmot
- Geoffrey J. McLachlan
- Simon C. K. Lee Asa
- Mathieu Pigeon
- Arthur P. Dempster
- Aaron Clauset
Who trusts Lan Gong overall
Papers from Lan Gong's perspective
Ordered by how strongly the researchers Lan Gong trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- On the Class of Erlang Mixtures with Risk Theoretic Applications
- Finite Mixture Models
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- The Elements of Statistical Learning
- A new look at the statistical model identification
- Hierarchical Insurance Claims Modeling
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Power-Law Distributions in Empirical Data
- Nonparametric Estimation from Incomplete Observations
Their papers
- FITTING MIXTURES OF ERLANGS TO CENSORED AND TRUNCATED DATA USING THE EM ALGORITHM (2015) — 77 citations