Modelling the COVID‐19 infection trajectory: A piecewise linear quantile trend model*-Reference-Cited by-同舟云学术

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Modelling the COVID‐19 infection trajectory: A piecewise linear quantile trend model*

Published:2021-08-12 Issue: Volume: Page:
ISSN:1369-7412
Container-title:Journal of the Royal Statistical Society: Series B (Statistical Methodology)
language:en
Short-container-title:J R Stat Soc Series B

Author:

Jiang Feiyu¹^ORCID,Zhao Zifeng²^ORCID,Shao Xiaofeng³^ORCID

Affiliation:

1. Department of Statistics School of ManagementFudan University Shanghai China

2. Department of Information Technology, Analytics, and Operations Mendoza College of BusinessUniversity of Notre Dame Notre Dame Indiana USA

3. Department of Statistics University of Illinois at Urbana‐Champaign Champaign Illinois USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssb.12453

Reference40 articles.

1. Data-based analysis, modelling and forecasting of the COVID-19 outbreak

2. Tests for Parameter Instability and Structural Change With Unknown Change Point

3. Structural breaks in time series

4. Segmented Model Selection in Quantile Regression Using the Minimum Description Length Principle

5. Piecewise quantile autoregressive modeling for nonstationary time series

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1. Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails;Canadian Journal of Statistics;2024-08

2. Mean stationarity test in time series: A signal variance-based approach;Bernoulli;2024-05-01

3. A Composite Likelihood-Based Approach for Change-Point Detection in Spatio-Temporal Processes;Journal of the American Statistical Association;2024-02-02

4. Two-sample and change-point inference for non-Euclidean valued time series;Electronic Journal of Statistics;2024-01-01

5. A study on estimating piecewise linear trend model using the simple moving average of differenced time series;Korean Journal of Applied Statistics;2023-12-31

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