Contemporary Developments in Bayesian Analysis and Statistical Decision Theory: A Festschrift for William E. Strawderman
Editor: Dominique Fourdrinier
Editor: Éric Marchand
Editor: Andrew L. Rukhin
Collections, Volume 8
Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2012.
This volume consists of articles in honor of William E. Strawderman by some of his many friends and colleagues on the occasion of his 70th birthday. For over forty years, Bill has demonstrated great leadership and contributed in deep and original ways to the discipline of statistics, to the cause of the profession and to the IMS. His work includes significant, original, inspiring and groundbreaking findings in statistical decision theory and Bayesian analysis, as well in statistical applications and consulting.
Bill’s many colleagues, collaborators and friends from Rutgers and elsewhere, have been privileged to interact with Bill, have learned very much and benefited from his great imagination, sharp intuition, extensive knowledge, clear exposition, and constant generosity. With this collection of papers, we celebrate Bill Strawderman’s many achievements and we seek to honor his exceptional contributions to statistics.
We conclude by voicing our deep gratitude to the distinguished authors of this volume, to the Editors of the IMS Collections Series, to Elyse Gustafson, to the referees of the papers, and to Geri Mattson and the team at Mattson Publishing Services.
Copyright © 2012, Institute of Mathematical Statistics.
Density estimation in high and ultra high dimensions, regularization, and the L1 asymptotics
Anirban DasGupta, and S.N. Lahiri; 1-23
Minimax estimation of linear combinations of restricted location parameters
Tatsuya Kubokawa; 24-41
Bayesian predictive densities for linear regression models under α-divergence loss: Some results and open problems
Yuzo Maruyama, and William E. Strawderman; 42-56
Multiple rank tests for pairwise comparisons
Arthur Cohen, and Harold Sackrowitz; 57-63
Reducing data nonconformity in linear models
Andrew L. Rukhin; 64-77
A weak functional framework for applications in statistics
Adel Blouza, Dominique Fourdrinier, and Patrice Lepelletier; 90-103
Inadmissible estimators of normal quantiles and two-sample problems with additional information
Éric Marchand, Mohammad Jafari Jozani, and Yogesh Mani Tripathi; 104-116
Asymptotic admissibility of priors and elliptic differential equations
John A. Hartigan; 117-130
Multiagent estimators of an exponential mean
Constance van Eeden, and James V. Zidek; 131-153
On hierarchical prior specifications and penalized likelihood
Robert L. Strawderman, and Martin T. Wells; 154-180
Accurate approximations to the distribution of a statistic testing symmetry in contingency tables
John E. Kolassa, and Hema Gayat Bhagavatula; 181-189
A nonparametric Bayesian method for estimating a response function
Scott Brown, and Glen Meeden; 190-199
CD posterior – combining prior and data through confidence distributions
Kesar Singh, and Minge Xie; 200-214
Bayesian prediction with adaptive ridge estimators
David G.T. Denison, and Edward I. George; 215-234
Dhammika Amaratunga, Javier Cabrera, Yauheniya Cherckas, and Yung-Seop Lee; 235-246