Results 91 to 100 of about 1,148,061 (201)
Parametric change point detection with random occurrence of the change point
, 2022 We are concerned with the problem of detecting a single change point in the model parameters of time series data generated from an exponential family. In contrast to the existing literature, we allow that the true location of the change point is itself random, possibly depending on the data. Under the alternative, we study the case when the size of the
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Change Point Detection in Trend of Mortality Data [PDF]
Mortality refers to death that occurs within a population. It is linked to many factors such as age, sex, race, occupation and social class. Change in the pattern of mortality trend can affect the population standards of living and health care. This
کاظم نژاد, انوشیروان +2 more
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Quantifying the uncertainty in change points [PDF]
, 2011 Quantifying the uncertainty in the location and nature of change points in time series is important in a variety of applications. Many existing methods for estimation of the number and location of change points fail to capture fully or explicitly the ...
Aston, John A. D. +5 more
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Hungarian Geographical BulletinThe goal of the present paper is to investigate whether any objectively defined and statistically significant changes can be discovered in one of the longest homogenized instrumental temperature records in East-Central Europe.
Tímea Kocsis +5 more
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Change Point Detection for Ocean Eddy Analysis
, 2018 The detection and analysis of mesoscale ocean eddies is a complex task, made more difficult when simulated or observational ocean data are massive. We present the statistical approach of change point detection as a means to help scientists efficiently ...
Banesh, Divya +4 more
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Enhanced Backward Multiple Change-Point Detection [PDF]
, 2023 Many statistical tools are built upon a specific set of assumptions on the distribution of the data at hand. However, the distribution of the observations in the dataset may not remain constant and may change due to some external events. For a sequence
Pirnia, Shahab
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Bayesian online change point detection in finance
, 2021 It is quite common that the structure of a time series changes abruptly. Identifying these change points and describing the model structure in the segments between these change points is an important task in financial time series analysis.
Habibi, Reza
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A Bayesian change point detection-based method for rolling bearing remaining useful life prediction
Advances in Mechanical EngineeringAddressing the multi-stage characteristics of rolling bearing degradation with random change points, this paper proposes a novel method for predicting the Remaining Useful Life (RUL) of multi-stage degradation processes.
Wenping Lei +3 more
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Change‐point models to estimate the limit of detection
Statistics in Medicine, 2013 In many biological and environmental studies, measured data is subject to a limit of detection. The limit of detection is generally defined as the lowest concentration of analyte that can be differentiated from a blank sample with some certainty. Data falling below the limit of detection is left censored, falling below a level that is easily quantified
May, Ryan C. +5 more
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Change Point Detection for Diversely Distributed Stochastic Processes Using a Probabilistic Method
Inventions, 2019 Unpredicted deviations in time series data are called change points. These unexpected changes indicate transitions between states. Change point detection is a valuable technique in modeling to estimate unanticipated property changes underlying time ...
Muhammad Rizwan Khan, Biswajit Sarkar
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