Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence-Reference-Cited by-同舟云学术

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Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence

Published:2023-09-12 Issue: Volume: Page:1-14
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Li Wendong¹^ORCID,Xiang Dongdong²,Chen Gongtao²,Qiu Peihua³^ORCID

Affiliation:

1. School of Statistics and Management, Shanghai Institute of International Finance and Economics, Shanghai University of Finance and Economics, Shanghai, China

2. KLATASDS-MOE, School of Statistics, East China Normal University, Shanghai, China

3. Department of Biostatistics, University of Florida, Gainesville, FL

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Basic Research Project of Shanghai Science and Technology Commission

NSF

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2023.2257760

Reference38 articles.

1. Weighted False Discovery Rate Control in Large-Scale Multiple Testing

2. Selective inference in complex research

3. Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping

4. Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models

5. LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing

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