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Matched pair experiments : Cox and maximum likelihood estimation

Gross, Shulamith T. - In: Scandinavian journal of statistics : SJS ; theory and … 14 (1987) 1, pp. 27-41

Persistent link: https://www.econbiz.de/10001053258

Multivariate Regression Trees for Analysis of Abundance Data

Larsen, David R.; Speckman, Paul L. - In: Biometrics 60 (2004) 2, pp. 543-549

Persistent link: https://www.econbiz.de/10010946999

Statistical Models for Limiting Nutrient Relations in Inland Waters

Kaiser, Mark S.; Speckman, Paul L.; Jones, John R. - In: Journal of the American Statistical Association : JASA 89 (1994) 426, pp. 410-423

Persistent link: https://www.econbiz.de/10006636614

Bayesian hierarchical linear mixed models for additive smoothing splines

Sun, Dongchu; Speckman, Paul L. - In: Annals of the Institute of Statistical Mathematics : AISM 60 (2008) 3, pp. 499-518

Persistent link: https://www.econbiz.de/10008085302

Priors for Bayesian adaptive spline smoothing

Yue, Yu Ryan; Speckman, Paul L.; Sun, Dongchu - In: Annals of the Institute of Statistical Mathematics : AISM 64 (2012) 3, pp. 577-614

Persistent link: https://www.econbiz.de/10009821819

Delta Plots and Coherent Distribution Ordering

Speckman, Paul L.; Rouder, Jeffrey N.; Morey, Richard D.; … - In: The American Statistician 62 (2008) August, pp. 262-266

Persistent link: https://www.econbiz.de/10005732521

Fully Bayesian spline smoothing and intrinsic autoregressive priors

Speckman, Paul L. - In: Biometrika 90 (2003) 2, pp. 289-302

There is a well-known Bayesian interpretation for function estimation by spline smoothing using a limit of proper normal priors. The limiting prior and the conditional and intrinsic autoregressive priors popular for spatial modelling have a common form, which we call partially informative...

Persistent link: https://www.econbiz.de/10005569486