Surajit Ray
Statistics and Probability · 2006–2012
A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 17 citations into it; #3,921 of 12,932 by trust here, #5,661 by citations
- Artificial Intelligence — 8 citations into it; #11,967 of 35,345 by trust here, #22,463 by citations
Whom Surajit Ray trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Fisher
- Yuhong Yang
- Bruce G. Lindsay
- Geoffrey J. McLachlan
- Hirotogu Akaike
- Hajo Holzmann
- David Peel
- Hirotugu Akaike
- Sandra Jeanne Vollmer
- Larry A. Wasserman
Who trusts Surajit Ray overall
- Giovanna Menardi
- Volodymyr Melnykov
- Frank A. Cowell
- Sang-Woo Lee
- Ranjan Maitra
- Emmanuel Flachaire
- Jin-Hwa Kim
- Jiahua Chen
- Jaehyun Jun
- Yen-Chi Chen
Papers from Surajit Ray's perspective
Ordered by how strongly the researchers Surajit Ray trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- Bayes factors
- Information Theory and an Extension of the Maximum Likelihood Principle
- Understanding AIC and BIC in Model Selection
- Can the Strengths of AIC and BIC Be Shared
- The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses
- THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
- Finite Mixture Models (Wiley Series in Probability and Statistics)
- Asymptotic inference for mixture models by using data‐dependent priors
- Adaptive Smoothing and Density-Based Tests of Multivariate Normality
Their papers
- © Institute of Mathematical Statistics, 2005 THE TOPOGRAPHY OF MULTIVARIATE NORMAL MIXTURES 1 — 188 citations
- Model selection in high dimensions: a quadratic‐risk‐based approach (2006) — 46 citations
- Quadratic distances on probabilities: A unified foundation (2008) — 56 citations
- On the upper bound of the number of modes of a multivariate normal mixture (2012) — 21 citations