Foundations of Statistical Inference Proceedings of the Shoresh Conference 2000 / edited by Yoel Haitovsky, Hans Rudolf Lerche, Ya'acov Ritov.

This volume is a compressed survey containing recent results on statistics of stochastic processes and on identification with incomplete observations. It comprises a collection of papers presented at the Shoresh Conference 2000 on the Foundation of Statistical Inference. The papers cover the followi...

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Corporate Author: SpringerLink (Online service)
Other Authors: Haitovsky, Yoel (Editor), Lerche, Hans Rudolf (Editor), Ritov, Ya'acov (Editor)
Format: eBook
Language:English
Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2003.
Edition:1st ed. 2003.
Series:Contributions to Statistics,
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

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505 0 |a I. Identification with Incomplete Observations, Data Mining -- Bounding Entries in Multi-way Contingency Tables Given aSet of Marginal Totals -- Identification and Estimation with Incomplete Data -- Computational Information Retrieval -- Studying Treatment Response to Inform Treatment Choice -- II. Bayesian Methods and Modelling -- Some Interactive Decision Problems Emerging in Statistical Games -- Probabilistic Modelling: An Historical andPhilosophical Digression -- A Bayesian View on Sampling the 2 x 2 Table -- Bayesian Designs for Binomial Experiments -- On the Second Order Minimax Improvement of the Sample Mean in the Estimation of a Mean Value of the Exponential Dispersion Family -- Bayesian Analysis of Cell Migration ¡ªLinking Experimental Data and Theoretical Models -- III. Testing, Goodness of Fit and Randomness -- Sequential Bayes Detection of Trend Changes -- Box¡ªCox Transformation for Semiparametric Comparison of Two Samples -- Minimax Nonparametric Goodness-of-Fit Testing -- Testing Randomness on the Basis of theNumber of Different Patterns -- The 7r* Index as a New Alternative for Assessing Goodness of Fit of Logistic Regression -- IV. Statistics of Stationary Processes -- Consistent Estimation of Early and Frequent Change Points -- Asymptotic Behaviour of Estimators of the Parameters of Nearly Unstable INAR(1) Models -- Guessing the Output of a Stationary Binary Time Series -- Asymptotic Expansions for Long-MemoryStationary Gaussian Processes -- Contributors. 
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