Change Point Detection in Panel Linear Regression Models Based on Jump Information Criterion [PDF]
EntropyThis paper focuses on the critical issue of change point detection in panel linear regression models and proposes a novel jump information criterion (JIC) for efficient solution.
Wenzhi Zhao, Lu Fan, Zhiming Xia
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A change point-based analysis procedure for improving the success rate of decision-making in clinical trials with delayed treatment effects [PDF]
Frontiers in Pharmacology, 2023 A delayed treatment effect is a commonly observed phenomenon in tumor immunotherapy clinical trials. It can cause a loss of statistical power and complicate the interpretation of the analytical findings.
Long-Shen Xie, Hui Lu
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Quantifying the contributions of climate change and human interventions on streamflow alteration in the Hableroud River basin using the hydrological sensitivity analysis approach based on the Budyko hypothesis [PDF]
مدلسازی و مدیریت آب و خاک, 2023 IntroductionClimate change and human interventions are the most important factors that in combination influence the hydrological response of a watershed system.
Vahedberdi Sheikh +6 more
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Microorganisms, 2022 Diatom communities significantly influence ocean primary productivity and carbon cycling, but their spatial and temporal dynamics are highly heterogeneous and are governed by a complex diverse suite of abiotic and biotic factors. We examined the seasonal
Nine Le Reun +9 more
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Poisson regression model with change points [PDF]
Journal of Applied Research on Industrial Engineering, 2021 There are many different fields the change point analysis arises. In those cases, the main problem is locating the unknown change points. The aim of this study is to detect location and time of change point in Poisson regression model.
Reza Habibi
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What is the Point of Change? Change Point Detection in Relational Event Models
Social Networks, 2023 This paper presents an extension to the relational event model with change points (REM-CP) to study abrupt changes to social interaction behavior in temporal networks. A change point detection algorithm is proposed for exploring when and which network effects abruptly change, and a confirmatory approach to test the presence of a change point at a given
Shafiee Kamalabad, Mahdi +2 more
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Physical Review Letters, 2016 4+8 pages, published version.
Calsamiglia, J +4 more
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The UAE Cloud Seeding Program: A Statistical and Physical Evaluation
Atmosphere, 2021 Operational cloud seeding programs have been increasingly deployed in several countries to augment natural rainfall amounts, particularly over water-scarce and arid regions.
Taha Al Hosari +8 more
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Change Point Analysis for Kumaraswamy Distribution
Mathematics, 2023 The Kumaraswamy distribution is a common type of bounded distribution, which is widely used in agriculture, hydrology, and other fields. In this paper, we use the methods of the likelihood ratio test, modified information criterion, and Schwarz ...
Weizhong Tian +3 more
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Heterogeneous Change Point Inference [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2016 Summary We propose, a heterogeneous simultaneous multiscale change point estimator called ‘H-SMUCE’ for the detection of multiple change points of the signal in a heterogeneous Gaussian regression model. A piecewise constant function is estimated by minimizing the number of change points over the acceptance region of a multiscale test ...
Pein, F., Sieling, H., Munk, A.
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