Paul L. Speckman

Statistics and Probability · 1985–2012

A researcher in the Science corpus: 7 papers; trusts 25 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 41 citations into it; #2,165 of 12,932 by trust here, #1,159 by citations
• Artificial Intelligence — 20 citations into it
• Developmental and Educational Psychology — 8 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Management Science and Operations Research — 7 citations into it; #4,852 of 11,946 by trust here, #4,921 by citations
• Cognitive Neuroscience — 6 citations into it; #9,308 of 10,852 by trust here, #8,363 by citations

Whom Paul L. Speckman trusts overall

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

1. Alberto Abadie
2. Jeffrey N. Rouder
3. Grace Wahba
4. Alan E. Gelfand
5. Hirotugu Akaike
6. Feng Liang
7. Andrew Gelman
8. Eric-Jan Wagenmakers
9. Stuart Geman
10. Maria J. Bayarri

Who trusts Paul L. Speckman overall

1. Zoltan Dienes
2. Jianqing Fan
3. John K. Kruschke
4. Ludwig Fahrmeir
5. Eric-Jan Wagenmakers
6. Iain M. Johnstone
7. Richard D. Morey
8. Jeffrey N. Rouder
9. Dongchu Sun
10. Yuhong Yang

Papers from Paul L. Speckman's perspective

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

1. Estimating the Dimension of a Model
2. Extending conventional priors for testing general hypotheses in linear models
3. A new look at the statistical model identification
4. Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models
5. Calibration of ρ Values for Testing Precise Null Hypotheses
6. Discussion of "Analysis of variance--why it is more important than ever" by A. Gelman
7. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
8. Bayesian t tests for accepting and rejecting the null hypothesis (Psychonomic Bulletin & Review)
9. A Simplex Method for Function Minimization
10. The problem of inference from curves based on group data.

Their papers

• Bayesian t tests for accepting and rejecting the null hypothesis (2009) — 3,569 citations
• Fully Bayesian spline smoothing and intrinsic autoregressive priors (2003) — 81 citations
• Using MCMC chain outputs to efficiently estimate Bayes factors (2011) — 84 citations
• Default Bayes factors for ANOVA designs (2012) — 1,707 citations
• Delta Plots and Coherent Distribution Ordering (2008) — 54 citations
• A hierarchical bayesian statistical framework for response time distributions (2003) — 155 citations
• Spline Smoothing and Optimal Rates of Convergence in Nonparametric Regression Models (1985)