Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"changepoint detection"”.
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High-dimensional Online Changepoint Detection
The problem of changepoint detection and estimation has a long history, dating back to at least Page (1954, 1955). As modern technological advances, data sets of unprecedented size can be collected at high frequency. This provides statisticians with new challenges in this field. In this thesis we …
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Changepoint detection for acoustic sensing signals
This thesis considers the application of changepoint detection methodology for the analysis of acoustic sensing signals. In the first part, we propose a detection procedure for changes in the second-order structure of a univariate time series. This utilises a penalised likelihood based on Whittle’s …
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Computationally efficient Gaussian Process changepoint detection and regression
… data include clustering and change-point detection algorithms. However, these methods require significant computation, do not come with provable guarantees on correctness and speed, and most algorithms only work in batch settings. This thesis presents an efficient online GP framework, …
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Statistical estimation and changepoint detection methods in public health surveillance
… modeling. The second topic involves the timely detection of infectious disease outbreaks using statistical process control monitoring. For over fifty years, the Centers for Disease Control and Prevention has been estimating annual rates of U.S. deaths attributable to influenza. These estimates …
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Changepoint detection and estimation for spatially indexed functional time series
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01
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Scalable Autonomous Network Control using Minimally Informed Agents
… criticality studies and one study into network changepoint analysis were conducted. The first study was direct propagation of linearly increasing criticality over a generated network. When telecoms networks cannot route data packets to an asset because it is processing other packets, they are …
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Parametric Resampling Methods for Retrospective Changepoint Analysis
Changepoint analysis is a useful tool in environmental statistics in that it provides a methodology for threshold detection and modeling processes subject to periodic changes in the underlying model due to anthropogenic effects or natural phenomena. Several applications of changepoint analysis are …
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Detecting abrupt changes in big data
This thesis looks at developing methods for changepoint detection that can be used in the realm of Big Data. In particular we look at developing methods that can be scaled to the volume of data, now readily collected and stored, and are also versatile to the different varieties of data. A well …
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Real-time predictive modeling and robust avoidance of pedestrians with uncertain, changing intentions
… for robust collision avoidance. A novel changepoint detection and clustering algorithm (Changepoint-DPGP) is presented to enable quick detection of changes in pedestrian behavior and online learning of new behaviors not previously observed in prior training data. The resulting long-term …
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Learning from Geometry
… yielding a series of statistics for anomaly detection. This framework extends the classical {\em changepoint detection} technique, which only works for one dimensional signals. Simulations and experiments highlight the robustness and efficacy of the proposed approach in detecting an abrupt …
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Bayesian Hierarchical Methods and the Use of Ecological Thresholds and Changepoints for Habitat Selection Models
… that an extension of the Bayesian hierarchical changepoint model to allow for estimating multiple changepoints simultaneously can be very informative when applied to data about multiple habitat locations or species. These models allow the researcher to compare the sites or species with respect …