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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Detecting Structural Change Point in ARMA Models via Neural Network Regression and LSCUSUM Methods [PDF]
Entropy, 2023 This study considers the change point testing problem in autoregressive moving average (ARMA) (p,q) models through the location and scale-based cumulative sum (LSCUSUM) method combined with neural network regression (NNR).
Xi-hame Ri, Zhanshou Chen, Yan Liang
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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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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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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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Optimal change point detection and localization in sparse dynamic networks [PDF]
, 2021 We study the problem of change point localization in dynamic networks models. We assume that we observe a sequence of independent adjacency matrices of the same size, each corresponding to a realization of an unknown inhomogeneous Bernoulli model.
Rinaldo, Alessandro, Wang, Daren, Yu, Yi
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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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Assessing seasonal variation and trends in rainfall patterns of Madhya Pradesh, Central India
Journal of Water and Climate Change, 2023 Climate change is a worldwide problem caused by various anthropogenic activities, leading to changes in hydroclimatic variables like temperature, rainfall, riverine flow, and extreme hydrometeorological events.
Amit Kumar +5 more
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Dynamical model for social distancing in the U.S. during the COVID-19 epidemic
Computational and Mathematical Biophysics, 2020 Background Social distancing has led to a “flattening of the curve” in many states across the U.S. This is part of a novel, massive, global social experiment which has served to mitigate the COVID-19 pandemic in the absence of a vaccine or effective anti-
Chitanvis Shirish M.
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