Statistical predictor identification

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book 01 Dec 1970 English Publisher:Springer Science and Business Media LLCJournal:Annals of the Institute of Statistical Mathematics, volume 22, pages 203-217 (issn: 0020-3157, eissn: 1572-9052,

Copyright policy )

Authors: Akaike, Hirotugu;

doi: 10.1007/bf02506337 , 10.1007/978-1-4612-1694-0_11

Statistical predictor identification

- Summary
- Subjects
- Metrics

Abstract

In a recent paper by the present author [1] a simple practical procedure of predictor identification has been proposed. It is the purpose of this paper to provide a theoretical and empirical basis of the procedure.

Keywords

Asymptotic distribution theory in statistics, Inference from stochastic processes and prediction

Impact byBIP!

	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).	1K
	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.	Top 0.1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 0.01%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%