Statistical Decision Theory and Related Topics V

1: Restrospective on Wald’s Decision Theory and Sequential Analysis.- Minimaxity, More or Less.- A Retrospective of Wald’s Sequential Analysis — Its Relation to Change-point Detection and Sequential Clinical Trials.- Group Bayes Estimation of the Exponential Mean: A Retrospective View of the Wald Theory.- 2: Asymptotics and Nonparametrics.- Ibragimov — Hasminskii Models.- Penalized Likelihood Hazard Estimation: Algorithm and Examples.- Estimating Lifetime Distribution Under Different Sampling Plans.- Estimating the Mixing Density of a Mixture of Power Series Distributions.- Estimating Linear Functionals in Density Estimation Models.- On Robust Estimation In Case-Control Studies with Errors in Covariates.- 3: Bayesian Analysis.- Applications and Limitations of Robust Bayesian Bounds and Type II MLE.- Bayesian Estimation of Political Transition Matrices.- Using Historical Controls in Clinical Trials: Application to ECMO.- A Geometric Solution of the Bayesian E-Optimal Design Problem.- Bayesian Estimation for Censored Data: An Experiment in Sensitivity Analysis.- Stability and Convergence of the Posterior in Non-Regular Problems.- A Hierarchical Bayesian Analysis of Circular Data with Autoregressive Errors: Modeling the Mechanical Properties of Cortical Bone.- Discovery Sampling and Selection Models.- 4: Decision Theory and Selection Procedures.- Loss Functions for Set Estimation.- Double Sample Estimation When Cost Depends on the Parameter.- On Some Bayesian Solutions of the Neyman-Scott Problem.- Empirical Bayes Two-Stage Procedures for Selecting the Best Bernoulli Population Compared with a Control.- On the Differentiation of Certain Probabilities with Applications in Statistical Decision Theory.- Minimax Bayes, Asymptotic Minimax and Sparse Wavelet Priors.-Simulating the Power of Decision Rules Applied to Data From the HGPRT Gene Mutation Assay.- Analyzing Randomized Response Data with a Binomial Selection Procedure.- Improved Confidence Statements for the Usual Multivariate Normal Confidence Set.- Improving on Truncated Estimators.- Bayesian and Non-Bayesian Estimation Using Balanced Loss Functions.- 5: Probability and Probabilistic Structures.- Distributions Which Are Gaussian Convolutions.- An Infinite Dimensional Convolution Theorem.- How Many Geometric (p) Samples Does It Take to See All the Balls in a Box.- The Asymptotic Distribution of Point Charges on a Conducting Sphere.- Permutation Invariant Upper and Lower Probabilities.- Subgraph Approximations for Directed Graphical Models.- Lower Bounds on Expected Redundancy for Classes of Continuous Markov Sources.- 6: Sequential, Adaptive, and Filtering Problems.- Random Walks for Quantile Estimation.- Some Procedures for State Estimation of a Hidden Markov Chain with Two States.- Adaptive Estimation Via Martingales.- The Blackwell Prediction Algorithm for Infinite 0–1 Sequences, and a Generalization.- Some Statistical Problems in Multitarget Tracking.- A Generalized Parking Problem.- Search Methods and Observer Logics.