| Year |
Citation |
Score |
| 2017 |
Morey RD, Rouder JN, Pratte MS, Speckman PL. Corrigendum to “Using MCMC chain outputs to efficiently estimate Bayes factors” [J. Math. Psychol. 55 (2011) 367–378] Journal of Mathematical Psychology. 79: 131. DOI: 10.1016/J.Jmp.2017.03.001 |
0.33 |
|
| 2016 |
Cheng C, Speckman PL. Bayes Factors for Smoothing Spline ANOVA Bayesian Analysis. 11: 957-975. DOI: 10.1214/15-Ba974 |
0.485 |
|
| 2013 |
Lin X, Sun D, Speckman PL, Rouder JN. Existence of MLE and posteriors for a recognition-memory model Statistics and Probability Letters. 83: 2415-2421. DOI: 10.1016/J.Spl.2013.06.033 |
0.358 |
|
| 2012 |
Rouder JN, Morey RD, Speckman PL, Province JM. Default Bayes factors for ANOVA designs Journal of Mathematical Psychology. 56: 356-374. DOI: 10.1016/J.Jmp.2012.08.001 |
0.374 |
|
| 2012 |
Cheng CI, Speckman PL. Bayesian smoothing spline analysis of variance Computational Statistics and Data Analysis. 56: 3945-3958. DOI: 10.1016/J.Csda.2012.05.020 |
0.587 |
|
| 2012 |
Yue YR, Speckman PL, Sun D. Priors for Bayesian adaptive spline smoothing Annals of the Institute of Statistical Mathematics. 64: 577-613. DOI: 10.1007/S10463-010-0321-6 |
0.45 |
|
| 2011 |
Morey RD, Rouder JN, Pratte MS, Speckman PL. Using MCMC chain outputs to efficiently estimate Bayes factors Journal of Mathematical Psychology. 55: 368-378. DOI: 10.1016/J.Jmp.2011.06.004 |
0.423 |
|
| 2010 |
Rouder JN, Yue Y, Speckman PL, Pratte MS, Province JM. Gradual growth versus shape invariance in perceptual decision making. Psychological Review. 117: 1267-74. PMID 21038978 DOI: 10.1037/A0020793 |
0.343 |
|
| 2010 |
Yue Y, Speckman PL. Nonstationary spatial gaussian markov random fields Journal of Computational and Graphical Statistics. 19: 96-116. DOI: 10.1198/Jcgs.2009.08124 |
0.337 |
|
| 2009 |
Rouder JN, Speckman PL, Sun D, Morey RD, Iverson G. Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review. 16: 225-37. PMID 19293088 DOI: 10.3758/Pbr.16.2.225 |
0.336 |
|
| 2009 |
Morey RD, Rouder JN, Speckman PL. A truncated-probit item response model for estimating psychophysical thresholds Psychometrika. 74: 603-618. DOI: 10.1007/S11336-009-9122-3 |
0.426 |
|
| 2009 |
Speckman PL, Lee J, Sun D. Existence of the MLE and propriety of posteriors for a general multinomial choice model Statistica Sinica. 19: 731-748. |
0.309 |
|
| 2008 |
Rouder JN, Tuerlinckx F, Speckman P, Lu J, Gomez P. A hierarchical approach for fitting curves to response time measurements. Psychonomic Bulletin & Review. 15: 1201-8. PMID 19001591 DOI: 10.3758/Pbr.15.6.1201 |
0.386 |
|
| 2008 |
Rouder JN, Lu J, Morey RD, Sun D, Speckman PL. A hierarchical process-dissociation model. Journal of Experimental Psychology. General. 137: 370-89. PMID 18473664 DOI: 10.1037/0096-3445.137.2.370 |
0.332 |
|
| 2008 |
Morey RD, Rouder JN, Speckman PL. A statistical model for discriminating between subliminal and near-liminal performance Journal of Mathematical Psychology. 52: 21-36. DOI: 10.1016/J.Jmp.2007.09.007 |
0.332 |
|
| 2008 |
Sun D, Speckman PL. Bayesian hierarchical linear mixed models for additive smoothing splines Annals of the Institute of Statistical Mathematics. 60: 499-517. DOI: 10.1007/S10463-007-0127-3 |
0.426 |
|
| 2007 |
Rouder JN, Morey RD, Speckman PL, Pratte MS. Detecting chance: a solution to the null sensitivity problem in subliminal priming. Psychonomic Bulletin & Review. 14: 597-605. PMID 17972720 DOI: 10.3758/Bf03196808 |
0.418 |
|
| 2007 |
Rouder JN, Lu J, Sun D, Speckman P, Morey R, Naveh-Benjamin M. Signal detection models with random participant and item effects Psychometrika. 72: 621-642. DOI: 10.1007/S11336-005-1350-6 |
0.363 |
|
| 2006 |
Speckman P. Nonparametric and Semiparametric Models Journal of the American Statistical Association. 101: 1308-1309. DOI: 10.1198/Jasa.2006.S119 |
0.369 |
|
| 2006 |
Pintore A, Speckman P, Holmes CC. Spatially adaptive smoothing splines Biometrika. 93: 113-125. DOI: 10.1093/Biomet/93.1.113 |
0.313 |
|
| 2005 |
Ren C, Sun D, Speckman PL, He CZ, Swan S. Hierarchical models for the probabilities of conception. Biometrical Journal. Biometrische Zeitschrift. 47: 721-39. PMID 16385912 DOI: 10.1002/Bimj.200410069 |
0.434 |
|
| 2005 |
Rouder JN, Lu J, Speckman P, Sun D, Jiang Y. A hierarchical model for estimating response time distributions. Psychonomic Bulletin & Review. 12: 195-223. PMID 16082801 DOI: 10.3758/Bf03257252 |
0.473 |
|
| 2005 |
Sun D, Speckman PL. A note on nonexistence of posterior moments Canadian Journal of Statistics. 33: 591-601. DOI: 10.1002/Cjs.5550330409 |
0.404 |
|
| 2004 |
Speckman PL, Rouder JN. A comment on Heathcote, Brown, and Mewhort's QMLE method for response time distributions. Psychonomic Bulletin & Review. 11: 574-6; discussion 57. PMID 15376813 DOI: 10.3758/Bf03196613 |
0.412 |
|
| 2004 |
Rouder JN, Speckman PL. An evaluation of the Vincentizing method of forming group-level response time distributions. Psychonomic Bulletin & Review. 11: 419-27. PMID 15376789 DOI: 10.3758/Bf03196589 |
0.419 |
|
| 2004 |
Jiang Y, Rouder JN, Speckman PL. A note on the sampling properties of the Vincentizing (quantile averaging) procedure Journal of Mathematical Psychology. 48: 186-195. DOI: 10.1016/J.Jmp.2004.01.002 |
0.419 |
|
| 2003 |
Speckman PL, Sun D. Fully Bayesian spline smoothing and intrinsic autoregressive priors Biometrika. 90: 289-302. DOI: 10.1093/Biomet/90.2.289 |
0.422 |
|
| 2003 |
Rouder JN, Sun D, Speckman PL, Lu J, Zhou D. A hierarchical Bayesian statistical framework for response time distributions Psychometrika. 68: 589-606. DOI: 10.1007/Bf02295614 |
0.443 |
|
| 2000 |
Smith RL, Davis JM, Sacks J, Speckman P, Styer P. Regression models for air pollution and daily mortality: analysis of data from Birmingham, Alabama Environmetrics. 11: 719-743. DOI: 10.1002/1099-095X(200011/12)11:6<719::Aid-Env438>3.0.Co;2-U |
0.315 |
|
| 1999 |
Sun D, Tsutakawa RK, Speckman PL. Posterior distribution of hierarchical models using CAR(1) distributions Biometrika. 86: 341-350. DOI: 10.1093/Biomet/86.2.341 |
0.409 |
|
| 1999 |
Davis JM, Speckman P. A model for predicting maximum and 8 h average ozone in Houston Atmospheric Environment. 33: 2487-2500. DOI: 10.1016/S1352-2310(98)00320-3 |
0.332 |
|
| 1999 |
Sun D, Tsutakawa RK, Speckman PL. Posterior distribution of hierarchical models using CAR(1) distributions Biometrika. 86: 341-350. |
0.316 |
|
| 1997 |
Hall P, Huber C, Speckman PL. Covariate-matched one-sided tests for the difference between functional means Journal of the American Statistical Association. 92: 1074-1083. DOI: 10.1080/01621459.1997.10474063 |
0.354 |
|
| 1994 |
Kaiser MS, Speckman PL, Jones JR. Statistical models for limiting nutrient relations in inland waters Journal of the American Statistical Association. 89: 410-423. DOI: 10.1080/01621459.1994.10476763 |
0.444 |
|
| 1993 |
Neal SP, Speckman PL, Enright MA. Flaw signature estimation in ultrasonic nondestructive evaluation using the Wiener filter with limited prior information. Ieee Transactions On Ultrasonics, Ferroelectrics, and Frequency Control. 40: 347-53. PMID 18263190 DOI: 10.1109/58.251283 |
0.353 |
|
| 1993 |
Eubank RL, Speckman PL. Confidence bands in nonparametric regression Journal of the American Statistical Association. 88: 1287-1301. DOI: 10.1080/01621459.1993.10476410 |
0.318 |
|
| 1992 |
Djojosugito RA, Speckman PL. Boundary bias correction in nonparametric density estimation Communications in Statistics - Theory and Methods. 21: 69-88. DOI: 10.1080/03610929208830765 |
0.336 |
|
| 1991 |
Eubank RL, Speckman P. Convergence rates for trigonometric and polynomial-trigonometric regression estimators Statistics and Probability Letters. 11: 119-124. DOI: 10.1016/0167-7152(91)90128-E |
0.39 |
|
| 1990 |
Eubank RL, Speckman P. Curve fitting by polynomial-trigonometric regression Biometrika. 77: 1-9. DOI: 10.1093/Biomet/77.1.1 |
0.456 |
|
| 1990 |
Eubank RL, Hart JD, Speckman P. Trigonometric series regression estimators with an application to partially linear models Journal of Multivariate Analysis. 32: 70-83. DOI: 10.1016/0047-259X(90)90072-P |
0.347 |
|
| 1988 |
Speckman P. Kernel smoothing in partial linear models Journal of the Royal Statistical Society Series B-Methodological. 50: 413-436. DOI: 10.1111/J.2517-6161.1988.Tb01738.X |
0.326 |
|
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