A least squares-type density estimator using a polynomial function-Reference-Cited by-同舟云学术

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A least squares-type density estimator using a polynomial function

Published:2020-04 Issue: Volume:144 Page:106882
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Im Jongho^ORCID,Morikawa Kosuke,Ha Hyung-Tae^ORCID

Funder

Yonsei University Research Fund

JSPS

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference34 articles.

1. Transition densities for interest rate and other nonlinear diffusions;Aït-Sahalia;J. Finance,1999

2. Maximum likelihood estimation of discretely-sampled diffusions: a closed-form approximation approach;Aït-Sahalia;Econometrica,2002

3. Closed-form likelihood expansions for multivariate diffusions;Aït-Sahalia;Ann. Statist.,2008

4. Convergence Problems of Orthogonal Series;Alexits,1961

5. Density estimation with confidence sets exemplified by superclusters and voids in galaxies;Anderson;J. Amer. Statist. Assoc.,1990

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