Steven L. Scott

Statistics and Probability · 2002–2015

A researcher in the Science corpus: 4 papers; trusts 33 researchers and is trusted by 86 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 34 citations into it; #857 of 12,932 by trust here, #2,858 by citations
• Artificial Intelligence — 15 citations into it; #1,941 of 35,345 by trust here, #10,798 by citations
• Economics and Econometrics — 15 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it; #142 of 1,525 by trust here, #498 by citations
• Management Science and Operations Research — 9 citations into it; #488 of 11,946 by trust here, #3,247 by citations
• Reinforcement Learning — 5 citations into it; #307 of 2,242 by trust here, #1,395 by citations

Whom Steven L. Scott trusts overall

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

1. Matthew Stephens
2. Peter J. Green
3. T. L. Lai Andherbertrobbins
4. Tze Leung Lai
5. P. Pardalos
6. Robert E. Kass
7. Jim Albert
8. John K. Kruschke
9. Christian P. Robert
10. Steffen L. Lauritzen

Who trusts Steven L. Scott overall

1. Herman Kamper
2. Maurits Clemens Kaptein
3. Shipra Agrawal
4. Maria Dimakopoulou
5. Paul Fearnhead
6. Nicolas Chapados
7. Taku Kudo
8. Haikady N. Nagaraja
9. Susan Athey
10. Daniel Russo

Papers from Steven L. Scott's perspective

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

1. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
2. Estimating the Dimension of a Model
3. Sampling-Based Approaches to Calculating Marginal Densities
4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
6. Bayes factors
7. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
8. Bayesian analysis of binary and polychotomous response data
9. Computational and Inferential Difficulties with Mixture Posterior Distributions
10. Generalized Linear Models

Their papers

• A modern Bayesian look at the multi-armed bandit (2010) — 492 citations
• Bayesian Methods for Hidden Markov Models (2002) — 610 citations
• Inferring causal impact using Bayesian structural time-series models (2015) — 879 citations
• Predicting the present with Bayesian structural time series (2014) — 403 citations