Kevin M. Quinn

Statistics and Probability · 2002–2011

A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 28 citations into it; #4,229 of 12,932 by trust here, #4,517 by citations
• Artificial Intelligence — 19 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Natural Language Processing — 6 citations into it; #2,072 of 5,688 by trust here, #3,235 by citations
• Political Science and International Relations — 6 citations into it; #747 of 4,701 by trust here, #876 by citations
• Causal Inference & Discovery — 5 citations into it

Whom Kevin M. Quinn trusts overall

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

1. James M. Robins
2. Jim Albert
3. Valen E. Johnson
4. Judea Pearl
5. Donald B. Rubin
6. Anastasios A. Tsiatis
7. Jonathan J. Forster
8. Siddhartha Chib
9. John K. Kruschke
10. Andrew Gelman

Who trusts Kevin M. Quinn overall

1. Margaret E. Roberts
2. Justin Grimmer
3. Niels D. Goet
4. Brandon M Stewart
5. Luke Keele
6. Matthew J. Denny
7. Su Lin Blodgett
8. Abigail Z. Jacobs
9. R. Chalmers
10. Burt L. Monroe

Papers from Kevin M. Quinn's perspective

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

1. The central role of the propensity score in observational studies for causal effects
2. The Elements of Statistical Learning
3. Latent Dirichlet Allocation
4. ImageNet classification with deep convolutional neural networks
5. The Nature of Statistical Learning Theory
6. Random Forests
7. Sampling-Based Approaches to Calculating Marginal Densities
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Regression Shrinkage and Selection via the Lasso

Their papers

• An Introduction to the Augmented Inverse Propensity Weighted Estimator (2010) — 377 citations
• MCMCpack: Markov chain Monte Carlo in R (2011) — 677 citations
• Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict (2008) — 667 citations
• Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999 (2002) — 1,190 citations
• How to Analyze Political Attention with Minimal Assumptions and Costs (2010)
• R×C ecological inference: bounds, correlations, flexibility and transparency of assumptions (2009) — 58 citations