A Criterion for Categories on Which Every Grothendieck Topology is Rigid. [PDF]
Marquès J.
europepmc +1 more source
ABSTRACT Metal additive manufacturing (AM) provides a pathway for creating highly optimized components that would be difficult to produce using traditional manufacturing methods. However, regardless of printing parameters or postprocessing, porosity remains a prevalent challenge in AM components because strain concentrates in the vicinity of the pore ...
Erick Adan Ramirez +3 more
wiley +1 more source
An Evolutionary-Algorithm-Driven Efficient Temporal Convolutional Network for Radar Image Extrapolation. [PDF]
Wei P +6 more
europepmc +1 more source
Identification and Estimation of Large Network Games with Private Link Information
ABSTRACT We study the identification and estimation of large network games in which individuals choose continuous actions while holding private information about their links and payoffs. Extending the framework of Galeotti et al., we build a tractable empirical model of such network games and show that the parameters in individual payoffs are ...
Hülya Eraslan, Xun Tang
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A Joint Framework of IMM-LSTM-C Tracking and IBPDO-Based Node Selection for Energy-Efficient Cooperative Tracking in Underwater Acoustic Sensor Networks. [PDF]
Zhang W, Hou Y, Zhu H.
europepmc +1 more source
Change Point Analysis for Functional Data Using Empirical Characteristic Functionals
ABSTRACT We develop a new method to detect change points in the distribution of functional data based on integrated CUSUM processes of empirical characteristic functionals. Asymptotic results are presented under conditions allowing for low‐order moments and serial dependence in the data establishing the limiting null‐distribution of the proposed test ...
Lajos Horváth +2 more
wiley +1 more source
Impact of influential data on screening epigenome-wide data. [PDF]
Sultana S +6 more
europepmc +1 more source
Tensor Changepoint Detection and Eigenbootstrap
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta +2 more
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Interpretable Sensor Change Detection via Conditional Cauchy-Schwarz Divergence. [PDF]
Wang W, Shen Y, Ni Y, Wu W.
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Omnibus goodness‐of‐fit tests for univariate continuous distributions based on trigonometric moments
ABSTRACT We propose a new omnibus goodness‐of‐fit test based on trigonometric moments of probability‐integral‐transformed data. The test builds on the framework of the LK test introduced by Langholz and Kronmal [J. Amer. Statist. Assoc. 86 (1991), 1077–1084], but fully exploits the covariance structure of the associated trigonometric statistics.
Alain Desgagné, Frédéric Ouimet
wiley +1 more source

