P. Speckman

发表

Bayesian t tests for accepting and rejecting the null hypothesis

Jeffrey N. Rouder, J. Rouder, P. Speckman, 2009, Psychonomic bulletin & review.

Spline Smoothing and Optimal Rates of Convergence in Nonparametric Regression Models

P. Speckman, 1985 .

A hierarchical process-dissociation model.

Jeffrey N. Rouder, J. Rouder, P. Speckman, 2008, Journal of experimental psychology. General.

A hierarchical model for estimating response time distributions

Jeffrey N. Rouder, J. Rouder, P. Speckman, 2005, Psychonomic bulletin & review.

A hierarchical bayesian statistical framework for response time distributions

Jeffrey N. Rouder, J. Rouder, P. Speckman, 2003 .

Default Bayes factors for ANOVA designs

Jeffrey N. Rouder, Jordan M. Province, J. Rouder, 2012 .

Kernel smoothing in partial linear models

P. Speckman, 1988 .

Statistical Models for Limiting Nutrient Relations in Inland Waters

John R. Jones, P. Speckman, M. Kaiser, 1994 .

Gradual Growth versus Shape Invariance in Perceptual Decision Making Cade for Help in Running the Reported Experiment. We Are Grateful for Helpful Comments From

Michael S. Pratte, Jeffrey N. Rouder, Jordan M. Province, 2022 .

Using MCMC chain outputs to efficiently estimate Bayes factors

Michael S. Pratte, Jeffrey N. Rouder, J. Rouder, 2011 .

Multivariate Regression Trees for Analysis of Abundance Data

P. Speckman, D. Larsen, 2004, Biometrics.

Posterior distribution of hierarchical models using CAR(1) distributions

P. Speckman, Dongchu Sun, R. Tsutakawa, 1999 .

Priors for Bayesian adaptive spline smoothing

P. Speckman, Dongchu Sun, Y. Yue, 2012 .

Existence of MLE and posteriors for a recognition-memory model

P. Speckman, Dongchu Sun, Xiaoyan Lin, 2013 .

A hierarchical approach for fitting curves to response time measurements

Francis Tuerlinckx, Pablo Gomez, Jeffrey N. Rouder, 2008, Psychonomic bulletin & review.

Delta Plots and Coherent Distribution Ordering

Richard D. Morey, Michael S. Pratte, Jeffrey N. Rouder, 2008 .

Trigonometric series regression estimators with an application to partially linear models

Jeffrey D. Hart, R. Eubank, P. Speckman, 1990 .

Curve fitting by polynomial-trigonometric regression

Paul L. Speckman, R. Eubank, P. Speckman, 1990 .

EXISTENCE OF THE MLE AND PROPRIETY OF POSTERIORS FOR A GENERAL MULTINOMIAL CHOICE MODEL

Jaeyong Lee, Dongchu Sun, Paul L. Speckman, 2001 .

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

Jeffrey N Rouder, Richard D Morey, Michael S Pratte, 2007, Psychonomic bulletin & review.

A statistical model for discriminating between subliminal and near-liminal performance

Richard D. Morey, Jeffrey N. Rouder, Paul L. Speckman, 2008 .

Spatially adaptive smoothing splines

Christopher Holmes, Paul L. Speckman, P. Speckman, 2006 .

Hierarchical Models for the Probabilities of Conception

P. Speckman, Dongchu Sun, C. He, 2005, Biometrical journal. Biometrische Zeitschrift.

Fully Bayesian spline smoothing and intrinsic autoregressive priors

Dongchu Sun, Paul L. Speckman, P. Speckman, 2003 .

Random Effects in Generalized Linear Mixed Models

Dongchu Sun, Robert K. Tsutakawa, Paul Speckman, 1998 .

Surface Fitting With Orthogonal Additive Models

P. Speckman, 1992 .

Nonparametric and Semiparametric Models:Nonparametric and Semiparametric Models

Paul L. Speckman, P. Speckman, 2006 .

Bayes Factors for Smoothing Spline ANOVA

P. Speckman, Chin-I Cheng, 2016 .

Airborne Particles and Mortality

Richard L. Smith, Jerry M. Davis, P. Speckman, 1998 .

Signal Detection Models with Random Participant and Item Effects

Jun Lu, Dongchu Sun, Jeffrey N. Rouder, 2007 .

Nonstationary Spatial Gaussian Markov Random Fields

Yu Yue, Paul L. Speckman, P. Speckman, 2010 .

A note on nonexistence of posterior moments

P. Speckman, Dongchu Sun, 2005 .

Asymptotic Properties of Smoothing Parameter Selection in Spline Smoothing

P. Speckman, Dongchu Sun, 2001 .

A note on the sampling properties of the Vincentizing (quantile averaging) procedure

Jeffrey N. Rouder, Paul L. Speckman, J. Rouder, 2004 .

A Truncated-Probit Item Response Model for Estimating Psychophysical Thresholds

J. Rouder, P. Speckman, R. Morey, 2009 .

A Bootstrap Test of Shape Invariance Across Distributions

Richard D. Morey, Michael S. Pratte, Jeffrey N. Rouder, 2010 .

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

Jeffrey N. Rouder, Paul L. Speckman, J. Rouder, 2004, Psychonomic bulletin & review.

In vivo and in vitro evidence suggest that HB-EGF regulates endometrial expression of human decay-accelerating factor.

P. Speckman, S. Young, B. Nowicki, 2002, The Journal of clinical endocrinology and metabolism.

Bayesian hierarchical linear mixed models for additive smoothing splines

Dongchu Sun, Paul L. Speckman, P. Speckman, 2008 .

Boundary bias correction in nonparametric density estimation

P. Speckman, Rianto A. Djojosugito, 1992 .

Convergence rates for trigonometric and polynomial-trigonometric regression estimators

R. Eubank, P. Speckman, 1991 .

Flaw signature estimation in ultrasonic nondestructive evaluation using the Wiener filter with limited prior information

S.P. Neal, P.L. Speckman, M.A. Enright, 1993, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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

Jerome Sacks, Richard L. Smith, Paul L. Speckman, 2000 .

HUMAN HEALTH EFFECTS OF ENVIRONMENTALPOLLUTION IN THE ATMOSPHERERichard

Paul Speckman, Jerry M. Davis, P. Speckman, 1999 .

Detection of Change-Points in Nonparametric Regression

Paul L. Speckman, P. Speckman, 1993 .

Nonparametric and Semiparametric Models

P. Speckman, 2006 .

Bayesian Analysis of Multivariate Smoothing Splines

P. Speckman, Dongchu Sun, Shawn Ni, 2014 .

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

Paul L. Speckman, Jerry M. Davis, P. Speckman, 1999 .

Bayesian smoothing spline analysis of variance

Chin-I Cheng, Paul L. Speckman, P. Speckman, 2012, Comput. Stat. Data Anal..

A comment on Heathcote, Brown, and Mewhort’s QMLE method for response time distributions

Jeffrey N Rouder, Paul L Speckman, J. Rouder, 2004, Psychonomic bulletin & review.

Proteomic analysis of nipple aspirate fluid using SELDI‐TOF‐MS

P. Speckman, E. Sauter, J. Hewett, 2005, International journal of cancer.

Gradual growth versus shape invariance in perceptual decision making.

Michael S. Pratte, Jeffrey N. Rouder, Jordan M. Province, 2010, Psychological review.

Bayes Factor 1 Running head : BAYES FACTOR A Bayes Factor Calculation for Accepting the Null Hypothesis

Jeffrey N. Rouder, P. Speckman, Dongchu Sun, 2007 .

Nonparametric estimation of functions with jump discontinuities

R. Eubank, P. Speckman, R. L. Eubank, 1994 .

Testing for hypothesized equality.

B R Londeree, P. Speckman, B. Londeree, 1990, Research quarterly for exercise and sport.

Covariate-matched one-sided tests for the difference between functional means

Catherine Huber, Peter Hall, Paul L. Speckman, 1997 .

Confidence bands in nonparametric regression

Paul L. Speckman, R. Eubank, P. Speckman, 1993 .