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Research.com Recognitions

  • 2006 - Fellow of the American Statistical Association (ASA)

Overview

Paul L. Speckman is affiliated with the University of Missouri in the United States. Their research focuses on environmental science, with specific attention to health, toxicology, and mutagenesis as subfields of study.

The scientist has contributed to the topic of air quality and health impacts, with publications reflecting this interest. Notably, recent work includes a paper titled Regression models for air pollution and daily mortality: analysis of data from Birmingham, Alabama, published in 2021 in UNC Libraries.

Their research collaborations involve frequent co-authors such as:

  • Richard Smith
  • Jerry Davis
  • Jerome Sacks
  • Patricia E. Styer

Publications have appeared primarily in the venue UNC Libraries.

Paul L. Speckman has been recognized by the professional community with the award of Fellow of the American Statistical Association (ASA) in 2006.

Best Publications

  • Bayesian T Tests for Accepting and Rejecting the Null Hypothesis

    Jeffrey N. Rouder;Paul L. Speckman;Dongchu Sun;Richard D. Morey

  • Default Bayes factors for ANOVA designs

    Jeffrey N. Rouder;Richard D. Morey;Paul L. Speckman;Jordan M. Province

  • Kernel smoothing in partial linear models

    Paul Speckman

  • A hierarchical model for estimating response time distributions

    Jeffrey N. Rouder;Jun Lu;Paul Speckman;DongChu Sun

  • Confidence bands in nonparametric regression

    R. L. Eubank;P. L. Speckman

  • Posterior distribution of hierarchical models using CAR(1) distributions

    Dongchu Sun;Robert K. Tsutakawa;Paul L. Speckman

  • A hierarchical bayesian statistical framework for response time distributions

    Jeffrey N. Rouder;Dongchu Sun;Paul L. Speckman;Jun Lu

  • Curve fitting by polynomial-trigonometric regression

    R. L. Eubank;Paul Speckman

  • A model for predicting maximum and 8 h average ozone in Houston

    J.M. Davis;J.M. Davis;P. Speckman;P. Speckman

  • Using MCMC chain outputs to efficiently estimate Bayes factors

    Richard D. Morey;Jeffrey N. Rouder;Michael S. Pratte;Paul L. Speckman

  • Signal detection models with random participant and item effects

    Jeffrey N. Rouder;Jun Lu;Dongchu Sun;Paul Speckman

  • A hierarchical process-dissociation model

    Jeffrey N. Rouder;Jun Lu;Richard D. Morey;Dongchu Sun

  • Statistical Models for Limiting Nutrient Relations in Inland Waters

    Mark S. Kaiser;Paul L. Speckman;John R. Jones

  • Detecting chance: A solution to the null sensitivity problem in subliminal priming

    Jeffrey N. Rouder;Richard D. Morey;Paul L. Speckman;Michael S. Pratte

  • Fully Bayesian spline smoothing and intrinsic autoregressive priors

    Paul L. Speckman;Dongchu Sun

  • Regression models for air pollution and daily mortality: analysis of data from Birmingham, Alabama

    Richard L Smith;Jerry M Davis;Jerome Sacks;Paul Speckman

  • An evaluation of the Vincentizing method of forming group-level response time distributions

    Jeffrey N. Rouder;Paul L. Speckman

  • Spatially adaptive smoothing splines

    Alexandre Pintore;Paul Speckman;Chris C. Holmes

  • Trigonometric series regression estimators with an application to partially linear models

    R. L. Eubank;J. D. Hart;P. Speckman

  • Supplement to \Detecting chance: A solution to the null sensitivity problem in subliminal priming"

    Richard D. Morey;Paul L. Speckman;Jeery N. Rouder;Michael S. Pratte

Frequent Co-Authors

Jeffrey N. Rouder
Jeffrey N. Rouder University of California, Irvine
Richard D. Morey
Richard D. Morey Cardiff University
Moshe Naveh-Benjamin
Moshe Naveh-Benjamin University of Missouri
John R. Jones
John R. Jones University of Missouri
Shanna H. Swan
Shanna H. Swan Icahn School of Medicine at Mount Sinai

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