Identifying spatial clustering in change points of streamflow across the contiguous U.S. between 1945 and 2009
Sign Up to like & getrecommendations! Published in 2017 at "Geophysical Research Letters"
DOI: 10.1002/2016gl072444
Abstract: Much of the work investigating sudden changes in streamflow in the U.S. has used only a small subset of all available gage data and has identified only a single change point in each gage's period… read more here.
Keywords: identifying spatial; change; change point; change points ... See more keywords
Bayesian Change Point Detection via a Generic Sparse Recursive Filter
Sign Up to like & getrecommendations! Published in 2025 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.70056
Abstract: A new sparse recursive filtering is suggested for the efficient inference of the joint posterior of the number of change points and their locations. The computational and storage costs of the sparse recursive filtering are… read more here.
Keywords: sparse recursive; point detection; bayesian change; change point ... See more keywords
Using canopy greenness index to identify leaf ecophysiological traits during the foliar senescence in an oak forest
Sign Up to like & getrecommendations! Published in 2018 at "Ecosphere"
DOI: 10.1002/ecs2.2337
Abstract: Camera-based observation of forest canopies allows for low-cost, continuous, high temporalspatial resolutions of plant phenology and seasonality of functional traits. In this study, we extracted canopy color index (green chromatic coordinate, Gcc) from the time-series… read more here.
Keywords: index; change point; senescence; gcc ... See more keywords
Change-point detection of cognitive states across multiple trials in functional neuroimaging.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7151
Abstract: Many functional neuroimaging-based studies involve repetitions of a task that may require several phases, or states, of mental activity. An appealing idea is to use relevant brain regions to identify the states. We developed a… read more here.
Keywords: functional neuroimaging; methodology; change; change point ... See more keywords
Change-point methods for multivariate time-series: paired vectorial observations
Sign Up to like & getrecommendations! Published in 2020 at "Statistical Papers"
DOI: 10.1007/s00362-020-01175-3
Abstract: We consider paired and two-sample break-detection procedures for vectorial observations and multivariate time series. The new methods involve L2-type criteria based on empirical characteristic functions and are easy to compute regardless of dimension. We obtain… read more here.
Keywords: time series; change point; time; series ... See more keywords
Quickest Change-point Detection Problems for Multidimensional Wiener Processes
Sign Up to like & getrecommendations! Published in 2024 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-024-10124-8
Abstract: We study the quickest change-point (disorder) detection problems for an observable multidimensional Wiener process with the constantly correlated components changing their drift rates at certain unobservable random (change-point) times. These problems seek to determine the… read more here.
Keywords: detection problems; quickest change; change point; change ... See more keywords
Estimation and testing in generalized mean-reverting processes with change-point
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Inference for Stochastic Processes"
DOI: 10.1007/s11203-016-9151-3
Abstract: In this paper, we study an inference problem in generalized Ornstein–Uhlenbeck processes with an unknown change-point when the drift parameter is suspected to satisfy a linear restriction. The testing problem studied generalizes a very recent… read more here.
Keywords: change point; generalized mean; testing generalized; estimation testing ... See more keywords
Simultaneous Testing of Change-Point Location and of a Regular Parameter by Poisson Observations
Sign Up to like & getrecommendations! Published in 2020 at "Statistical Inference for Stochastic Processes"
DOI: 10.1007/s11203-020-09207-3
Abstract: The problem of hypothesis testing is considered in the case of observation of an inhomogeneous Poisson process with an intensity function depending on two parameters. It is supposed that the dependence on the first of… read more here.
Keywords: change point; poisson; point location;
Reliability Evaluation of Two-Phase Degradation Process with a Fuzzy Change-Point
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Shanghai Jiaotong University (science)"
DOI: 10.1007/s12204-021-2323-3
Abstract: For some products, degradation mechanisms change during testing, and therefore, their degradation patterns vary at different points in time; these points are called change-points. Owing to the limitation of measurement costs, time intervals for degradation… read more here.
Keywords: degradation; two phase; change; change point ... See more keywords
Spatio-temporal estimation of rainfall patterns in north and northwestern states of India between 1901 and 2015: change point detections and trend assessments
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-06098-9
Abstract: Change point detection and trend analysis are the adopted techniques of time series analysis. We have applied non-parametric methods on the temporal and spatial-scale data of 115 years between 1901 and 2015 from ten different… read more here.
Keywords: 1901 2015; north northwestern; trend; change ... See more keywords
A Bayesian inference to estimate change point for traffic intensity in M/M/1 queueing model
Sign Up to like & getrecommendations! Published in 2021 at "OPSEARCH"
DOI: 10.1007/s12597-021-00535-3
Abstract: The paper is concerned with the problem of change point for the inter arrival time distribution for the M / M /1 queueing system by considering the number of customers present in the system. Bayesian… read more here.
Keywords: change; inference estimate; bayesian inference; traffic ... See more keywords