Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models-Reference-Cited by-同舟云学术

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Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models

Published:2018-05-08 Issue:5 Volume:52 Page:1005-1024
ISSN:0233-1888
Container-title:Statistics
language:en
Short-container-title:Statistics

Author:

Bura E.¹²,Duarte S.³,Forzani L.³,Smucler E.⁴⁵,Sued M.⁵

Affiliation:

1. Institute of Statistics and Mathematical Methods in Economics, TU Wien, Vienna, Austria

2. Department of Statistics, George Washington University, Washington, DC, USA

3. Facultad de Ingeniería Química, UNL, Santa Fe, Argentina

4. Department of Statistics, University of British Columbia, Vancouver, BC, Canada

5. Instituto de Cálculo, UBA, Buenos Aires, Argentina

Funder

Simons Foundation

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331888.2018.1467420

Reference16 articles.

1. Multivariate Reduced-Rank Regression

2. Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions

3. Reduced-rank regression for the multivariate linear model

4. Modern Multivariate Statistical Techniques

5. Reduced-rank vector generalized linear models

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1. Taylor’s power law and reduced-rank vector generalized linear models;Japanese Journal of Statistics and Data Science;2023-07-26

2. Menopausal symptoms, physical activity level and quality of life of women living in the Mediterranean region;PLOS ONE;2020-03-24

3. Probability inequalities for sums of NSD random variables and applications;Communications in Statistics - Theory and Methods;2018-11-28

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