Thomas Otter

Artificial Intelligence · 2004–2007

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Otter trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sylvia Frühwirth-Schnatter
  2. Rick L. Andrews
  3. Matthew Stephens
  4. Peter J. Lenk
  5. Greg M. Allenby
  6. Yancy D. Edwards
  7. Timothy J. Gilbride

Who trusts Thomas Otter overall

  1. Riccardo Scarpa
  2. Michael P. Keane
  3. Sylvia Frühwirth-Schnatter

Papers from Thomas Otter's perspective

Ordered by how strongly the researchers Thomas Otter trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Computational and Inferential Difficulties with Mixture Posterior Distributions
  2. Dealing with label switching in mixture models
  3. The Art of Data Augmentation
  4. Efficient Bayesian Inference for Dynamic Mixture Models
  5. Capturing consumer heterogeneity in metric conjoint analysis using Bayesian mixture models
  6. Linear Mixed Models for Longitudinal Data (Technometrics)
  7. Monte Carlo Methods in Bayesian Computation
  8. Bayesian measures of model complexity and fit
  9. Measuring Heterogeneous Reservation Prices for Product Bundles
  10. A Choice Model with Conjunctive, Disjunctive, and Compensatory Screening Rules

Their papers