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   Articles with "change points" as a keyword



Bayesian identification of multiple seismic change points and varying seismic rates caused by induced seismicity

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recommendations! Published in 2017 at "Geophysical Research Letters"

DOI: 10.1002/2016gl072266

Abstract: The Central and Eastern United States (CEUS) has experienced an abnormal increase in seismic activity, which is believed to be related to anthropogenic activities. The U.S. Geological Survey has acknowledged this situation and developed the… read more here.

Keywords: seismicity; seismic rates; change points; induced seismicity ... See more keywords

Identifying spatial clustering in change points of streamflow across the contiguous U.S. between 1945 and 2009

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recommendations! 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

Detecting multiple generalized change-points by isolating single ones

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recommendations! Published in 2021 at "Metrika"

DOI: 10.1007/s00184-021-00821-6

Abstract: We introduce a new approach, called Isolate-Detect (ID), for the consistent estimation of the number and location of multiple generalized change-points in noisy data sequences. Examples of signal changes that ID can deal with are… read more here.

Keywords: detecting multiple; generalized change; multiple generalized; change ... See more keywords

Identification and analysis of recent temporal temperature trends for Dehradun, Uttarakhand, India

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recommendations! Published in 2018 at "Meteorology and Atmospheric Physics"

DOI: 10.1007/s00703-018-0608-3

Abstract: Maximum and minimum temperatures (Tmax and Tmin) are indicators of changes in climate. In this study, observed and gridded Tmax and Tmin data of Dehradun are analyzed for the period 1901–2014. Observed data obtained from… read more here.

Keywords: cru data; temperature; observed data; change points ... See more keywords

Water quality trend and change-point analyses using integration of locally weighted polynomial regression and segmented regression

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recommendations! Published in 2017 at "Environmental Science and Pollution Research"

DOI: 10.1007/s11356-017-9188-x

Abstract: Trend and change-point analyses of water quality time series data have important implications for pollution control and environmental decision-making. This paper developed a new approach to assess trends and change-points of water quality parameters by… read more here.

Keywords: regression; water; change points; water quality ... See more keywords

Frequent or systematic changes? discussion on “Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection.”

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recommendations! Published in 2020 at "Journal of The Korean Statistical Society"

DOI: 10.1007/s42952-020-00078-1

Abstract: We discuss Fryzlewicz’s paper that proposes WBS2.SDLL approach to detect possibly frequent changes in mean of a series. Our focus is on the potential issues related to the model misspecification. We present some numerical examples… read more here.

Keywords: frequent systematic; possibly frequent; change points; frequent change ... See more keywords

Confidence distributions for change-points and regime shifts

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recommendations! Published in 2017 at "Journal of Statistical Planning and Inference"

DOI: 10.1016/j.jspi.2017.09.009

Abstract: Abstract Suppose observations y 1 , … , y n stem from a parametric model f ( y , θ ) , with the parameter taking one value θ L for y 1 , …… read more here.

Keywords: regime shifts; confidence; change points; confidence distributions ... See more keywords
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Asymptotic delay times of sequential tests based on U-statistics for early and late change points

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recommendations! Published in 2022 at "Journal of Statistical Planning and Inference"

DOI: 10.1016/j.jspi.2022.04.001

Abstract: Sequential change point tests aim at giving an alarm as soon as possible after a structural break occurs while controlling the asymptotic false alarm error. For such tests it is of particular importance to understand… read more here.

Keywords: change; sequential change; change points; based statistics ... See more keywords

Extreme learning machine based mutual information estimation with application to time-series change-points detection

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2015.11.138

Abstract: Abstract In this paper, we propose an efficient parameter tuning-free squared-loss mutual information (SMI) estimator in a form of a radial basis function (RBF) network. The input layer of the proposed network propagates a sample… read more here.

Keywords: time series; extreme learning; learning machine; change points ... See more keywords

Sequential online prediction in the presence of outliers and change points: an instant temporal structure learning approach

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.07.011

Abstract: In this paper, we consider sequential online prediction (SOP) for streaming data in the presence of outliers and change points. We propose an INstant TEmporal structure Learning (INTEL) algorithm to address this problem. Our INTEL… read more here.

Keywords: temporal structure; online prediction; change points; presence outliers ... See more keywords

Unsupervised Change Point Detection and Trend Prediction for Financial Time-Series Using a New CUSUM-Based Approach

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3162399

Abstract: The aim of this research is to propose a binary segmentation algorithm to detect the change points in financial time-series based on the Iterative Cumulative Sum of Squares (ICSS). The proposed algorithm, entitled KW-ICSS, utilizes… read more here.

Keywords: icss; change; change points; time series ... See more keywords