Imperial College London

Professor Alastair Young

Faculty of Natural SciencesDepartment of Mathematics

Chair in Statistics
 
 
 
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Contact

 

+44 (0)20 7594 8560alastair.young Website

 
 
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Location

 

529Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{DiCiccio:2017:10.1080/00031305.2016.1255662,
author = {DiCiccio, TJ and Kuffner, TA and Young, GA},
doi = {10.1080/00031305.2016.1255662},
journal = {The American statistician},
pages = {302--304},
title = {A simple analysis of the exact probability matching prior in the location-scale model},
url = {http://dx.doi.org/10.1080/00031305.2016.1255662},
volume = {71},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - It has long been asserted that in univariate location-scale models, when concerned with inference for either the location or scale parameter, the use of the inverse of the scale parameter as a Bayesian prior yields posterior credible sets which have exactly the correct frequentist confidence set interpretation. This claim dates to at least Peers (1965), and has subsequently been noted by various authors, with varying degrees of justification. We present a simple, direct demonstration of the exact matching property of the posterior credible sets derived under use of this prior in the univariate location-scale model. This is done by establishing an equivalence between the conditional frequentist and posterior densities of the pivotal quantities on which conditional frequentist inferences are based.
AU - DiCiccio,TJ
AU - Kuffner,TA
AU - Young,GA
DO - 10.1080/00031305.2016.1255662
EP - 304
PY - 2017///
SN - 1537-2731
SP - 302
TI - A simple analysis of the exact probability matching prior in the location-scale model
T2 - The American statistician
UR - http://dx.doi.org/10.1080/00031305.2016.1255662
UR - http://hdl.handle.net/10044/1/53480
VL - 71
ER -