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Neyman-Scott Problem: Estimating Function and Semiparametric Statistical Model

  • Shun-ichi Amari
Chapter
Part of the Applied Mathematical Sciences book series (AMS, volume 194)

Abstract

The present chapter studies the famous Neyman–Scott problem, where the number of unknown parameters increases in proportion to the number of observations.

Keywords

Firing Rate Tangent Space Estimate Function Tangent Vector Efficient Score 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Japan 2016

Authors and Affiliations

  1. 1.Brain Science InstituteRIKENWakoJapan

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