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Inferential Models
book

Inferential Models

by Ryan Martin, Chuanhai Liu
September 2015
Intermediate to advanced content levelIntermediate to advanced
276 pages
9h 7m
English
Chapman and Hall/CRC
Content preview from Inferential Models
234 FUTURE RESEARCH TOPICS
framework’s ability to handle partial prior information will help to push it into the
statistical mainstream. We propose to call this general idea partial- or semi-Bayes.
12.2.7 Nonparametric problems
By nonparametric, here we mean those problems where the parameter of interest
is infinite-dimensional, i.e., θ is a function rather than a number or vector. For ex-
ample, θ could be the density function itself or perhaps a regression function. Re-
search in this direction has focused primarily on producing estimators of the infinite-
dimensional parameter and studying the estimator’s convergence properties. While
there has been some interest in recent literature on the construction of confidence
bands for θ, work on valid probabilistic ...
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Publisher Resources

ISBN: 9781439886519