Data-Driven Determination of the Number of Jumps in Regression Curves-Reference-Cited by-同舟云学术

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Data-Driven Determination of the Number of Jumps in Regression Curves

Published:2021-10-25 Issue: Volume: Page:1-11
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Wang Guanghui¹,Zou Changliang²,Qiu Peihua³

Affiliation:

1. KLATASDS-MOE, Academy of Statistics and Interdisciplinary Sciences, East China Normal University, Shanghai, China

2. School of Statistics and Data Science, LPMC and KLMDASR, Nankai University, Tianjin, China

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

Funder

NNSF of China

NSF of Tianjin

NSF

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2021.1978551

Reference27 articles.

1. Jumps in High-Frequency Data: Spurious Detections, Dynamics, and News

2. Controlling the false discovery rate via knockoffs

3. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

4. Nonparametric inference on structural breaks

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiple change‐point detection for regression curves;Canadian Journal of Statistics;2024-07-25

2. Activation Discovery With FDR Control: Application to FMRI Data;Statistica Sinica;2024

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