Low and high dimensional wavelet thresholds for matrix-variate normal distribution-Reference-Cited by-同舟云学术

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Low and high dimensional wavelet thresholds for matrix-variate normal distribution

Published:2024-03-11 Issue: Volume: Page:1-20
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Karamikabir H.¹^ORCID,Sanati A.²,Hamedani G. G.³

Affiliation:

1. Department of Statistics, Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University, Bushehr, Iran

2. Department of Computer Engineering, Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University, Bushehr, Iran

3. Department of Mathematical and Statistical Sciences, Marquette University, Milwaukee, Wisconsin, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2024.2326595

Reference32 articles.

1. Matrix Variate Distributions for Probabilistic Structural Dynamics

2. Anderson, W. 2003. An introduction to multivariate statistical analysis. 3rd ed. Hoboken, New Jersey: Theodore, John Wiley and Sons.

3. Controlling the false discovery rate: A practical and powerful approach to multiple testing;Benjamini Y.;Journal of the Royal Statistical Society: Series B (Methodological),1995

4. Incorporating information on neighbouring coefficients into wavelet estimation;Cai T. T.;Sankhy: The Indian Journal of Statistics Series B,2001

5. Prediction of Acute Aquatic Toxicity toward Daphnia Magna by using the GA-kNN Method

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