Cluster analysis with regression of non‐Gaussian functional data on covariates-Reference-Cited by-同舟云学术

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Cluster analysis with regression of non‐Gaussian functional data on covariates

Published:2021-12-17 Issue: Volume: Page:
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can J Statistics

Author:

Jiang Jiakun¹²,Lin Huazhen²^ORCID,Peng Heng³,Fan Gang‐Zhi⁴,Li Yi⁵

Affiliation:

1. Center for Statistics and Data Science Beijing Normal University at Zhuhai Zhuhai China

2. Center of Statistical Research and School of Statistics Southwestern University of Finance and Economics Chengdu Sichuan China

3. Department of Mathematics Hong Kong Baptist University Hong Kong China

4. School of Management Guangzhou University Guangzhou China

5. Department of Biostatistics University of Michigan Ann Arbor MI48109 U.S.A

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of China

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjs.11680

Reference59 articles.

1. Unsupervised curve clustering using B‐splines;Abraham C.;Scandinavian Journal of Statistics,2003

2. Latent class growth modelling: A tutorial;Andruff H.;Tutorials in Quantitative Methods for Psychology,2009

3. Distributional assumptions of growth mixture models: Implications for overextraction of latent trajectory classes;Bauer D. J.;Psychological Methods,2003

4. Model‐based clustering of time series in group‐specific functional subspaces;Bouveyron C.;Advances in Data Analysis and Classification,2011

5. Chinese real estate market performance: Stock market linkages, liquidity pressures, and inflationary effects;Burdekin R. C.;Chinese Economy,2014

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1. Review of Clustering Methods for Functional Data;ACM Transactions on Knowledge Discovery from Data;2023-04-06

2. Estimating the Conditional Density in Scalar-On-Function Regression Structure: k-N-N Local Linear Approach;Mathematics;2022-03-11

3. Special issue on “Functional and object data analysis”: Guest Editor's introduction;Canadian Journal of Statistics;2022-02-25

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