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ON THE IMPLEMENTATION OF APPROXIMATE CONDITIONAL INFERENCE

Authors: Ruggero Bellio; BRAZZALE, ALESSANDRA ROSALBA;

ON THE IMPLEMENTATION OF APPROXIMATE CONDITIONAL INFERENCE

Abstract

The extension of exact conditional inference to include so-called approximate conditional methods has rapidly developed in the last two decades. However, these methods are still under-used in practice, the main problem being the lack of suitable software. Several attempts have been made to implement the methods, using either computer algebra systems or statistical packages, but none is fully satisfactory. The trade-off between algebraic calculation and numerical efficiency still represents a big impediment. The aim of the paper is to discuss the problems one encounters in the implementation of higher order asymptotics and how some of these might be overcome.

Country
Italy
Keywords

Asymptotics, Computer Algebra, Conditioning, Exponential Family, Likelihood, Regression Model, Statistical Package., asymptotics; computer algebra; exponential family; likelihood; regression model; statistical package

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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