Online Bayesian learning for mixtures of spatial spline regressions with mixed effects-Reference-Cited by-同舟云学术

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Online Bayesian learning for mixtures of spatial spline regressions with mixed effects

Published:2021-11-24 Issue: Volume: Page:1-37
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Ge Shufei¹^ORCID,Wang Shijia²^ORCID,Nathoo Farouk S.³^ORCID,Wang Liangliang⁴^ORCID

Affiliation:

1. Institute of Mathematical Sciences, ShanghaiTech University, Shanghai, People's Republic of China

2. School of Statistics and Data Science, LPMC& KLMDASR, Nankai University, Tianjin, People's Republic of China

3. Department of Mathematics and Statistics, University of Victoria, Victoria, Canada

4. Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, Canada

Funder

Shanghai Science and Technology Program

Nankai University

National Natural Science Funds of China

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2021.2002329

Reference53 articles.

1. Functional linear discriminant analysis for irregularly sampled curves

2. Izenman AJ. Linear discriminant analysis. Modern multivariate statistical techniques. Springer; 2013. p. 237–280.

3. A Functional Data—Analytic Approach to Signal Discrimination

4. Clustering for Sparsely Sampled Functional Data

5. Functional Modelling and Classification of Longitudinal Data*

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