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   Articles with "changepoint" as a keyword



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Scalable multiple changepoint detection for functional data sequences

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recommendations! Published in 2021 at "Environmetrics"

DOI: 10.1002/env.2710

Abstract: We propose the Multiple Changepoint Isolation (MCI) method for detecting multiple changes in the mean and covariance of a functional process. We first introduce a pair of projections to represent the high and low frequency… read more here.

Keywords: changepoint; multiple changepoint; detection functional; changepoint detection ... See more keywords

Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction: Theory and experiment

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recommendations! Published in 2017 at "Autonomous Robots"

DOI: 10.1007/s10514-017-9619-z

Abstract: This paper reports on an integrated inference and decision-making approach for autonomous driving that models vehicle behavior for both our vehicle and nearby vehicles as a discrete set of closed-loop policies. Each policy captures a… read more here.

Keywords: decision; autonomous driving; policy; changepoint ... See more keywords

Bootstrap-based inference for multiple variance changepoint models

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recommendations! Published in 2025 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2025.2481454

Abstract: Variance changepoints in economics, finance, biomedicine, oceanography, etc. are frequent and significant. To better detect these changepoints, we propose a new technique for constructing confidence intervals for the variances of a noisy sequence with multiple… read more here.

Keywords: inference multiple; variance; bootstrap based; based inference ... See more keywords

Likelihood ratios for changepoints in categorical event data with applications in digital forensics

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recommendations! Published in 2024 at "Journal of Forensic Sciences"

DOI: 10.1111/1556-4029.15512

Abstract: We investigate likelihood ratio models motivated by digital forensics problems involving time‐stamped user‐generated event data from a device or account. Of specific interest are scenarios where the data may have been generated by a single… read more here.

Keywords: device; changepoint; account; likelihood ratio ... See more keywords

Random changepoint segmented regression with smooth transition

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recommendations! Published in 2020 at "Statistical Methods in Medical Research"

DOI: 10.1177/0962280220964953

Abstract: We consider random changepoint segmented regression models to analyse data from a study conducted to verify whether treatment with stem cells may delay the onset of a symptom of amyotrophic lateral sclerosis in genetically modified… read more here.

Keywords: smooth transition; changepoint; segmented regression; changepoint segmented ... See more keywords