Asim Ansari
Probabilistic & Bayesian Methods · 2000–2002
A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Probabilistic & Bayesian Methods — 10 citations into it
- Statistics and Probability — 7 citations into it; #3,891 of 12,932 by trust here, #6,853 by citations
Whom Asim Ansari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alan E. Gelfand
- Stuart Geman
- Jim Albert
- Kenneth A. Bollen
- Adrian F. M. Smith
- Robert E. Kass
- Donald Geman
- Siddhartha Chib
- S. Geisser
- P. Stephen
Who trusts Asim Ansari overall
- A. Skrondal
- M. Wedel
- Izak Benbasat
- Sophia Rabe-Hesketh
- Rick L. Andrews
- S. Schilling
- Gediminas Adomavicius
- Xinya Liang
- Jesús Palomo
- P. K. Kannan
Papers from Asim Ansari's perspective
Ordered by how strongly the researchers Asim Ansari trusts endorse each paper. Same corpus, a different order for every researcher.
- Sampling-Based Approaches to Calculating Marginal Densities
- Bayes factors
- Bayesian analysis of binary and polychotomous response data
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- A Predictive Approach to Model Selection
- Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95
- General methods for monitoring convergence of iterative simulations
- Computational and Inferential Difficulties with Mixture Posterior Distributions
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Internet Recommendation Systems
Their papers
- Hierarchical Bayes versus Finite Mixture Conjoint Analysis Models: A Comparison of Fit, Prediction, and Partworth Recovery (2002) — 205 citations
- Bayesian factor analysis for multilevel binary observations (2000) — 108 citations
- Internet Recommendation Systems (2000) — 778 citations
- Heterogeneous factor analysis models: A bayesian approach (2002) — 90 citations
- A Hierarchical Bayesian Methodology for Treating Heterogeneity in Structural Equation Models (2000) — 104 citations