Multiple Changepoint Detection for Non‐Gaussian Time Series
ABSTRACT This article combines methods from existing techniques to identify multiple changepoints in non‐Gaussian autocorrelated time series. A transformation is used to convert a Gaussian series into a non‐Gaussian series, enabling penalized likelihood methods to handle non‐Gaussian scenarios.
Robert Lund +3 more
wiley +1 more source
Seismic and gravity constraints on plate flexure and mantle rheology along the whole Hawaiian-Emperor seamount chain. [PDF]
Watts AB +5 more
europepmc +1 more source
Process-Driven Optimization of FDM Porous PEEK Scaffolds for Alloplastic Bone Grafts. [PDF]
Galea Mifsud M, Di-Silvio L, Coward T.
europepmc +1 more source
Effect of Mass Reduction of 3D-Printed PLA on Load Transfer Capacity-A Circular Economy Perspective. [PDF]
Liber-Kneć A, Łagan S.
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An adaptive multi-scale kriging framework with committee-based infill for engineering design optimization. [PDF]
Xie H, Zhong Q, Zeng W.
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Influence of Bio-Based Infill Materials on the Fire Resistance of Panelised Timber Wall Assemblies-A Pilot Study. [PDF]
Tereňová Ľ +2 more
europepmc +1 more source
Performance Enhancement of Lightweight PLA Parts Printed by FFF Using Taguchi-GRA Method. [PDF]
Tunçel O, Kahya Ç.
europepmc +1 more source
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