Results 61 to 70 of about 80,797 (168)
Risk Analysis, EarlyView.ABSTRACT In absence of sufficient data, structured expert judgment is a suitable method to estimate uncertain quantities. While such methods are well established for individual variables, eliciting their dependence in a structured manner is a less explored field of research.
Guus Rongen +3 more
wiley +1 more source
Debiasing piecewise deterministic Markov process samplers using couplings
Scandinavian Journal of Statistics, EarlyView.Abstract Monte Carlo methods—such as Markov chain Monte Carlo (MCMC) and piecewise deterministic Markov process (PDMP) samplers—provide asymptotically exact estimators of expectations under a target distribution. There is growing interest in alternatives to this asymptotic regime, in particular in constructing estimators that are exact in the limit of ...
Adrien Corenflos +2 more
wiley +1 more source
Is every product system concrete?
Transactions of the London Mathematical Society, Volume 12, Issue 1, December 2025.Abstract Is every product system of Hilbert spaces over a semigroup P$P$ concrete, that is, isomorphic to the product system of an E0$E_0$‐semigroup over P$P$? The answer is no if P$P$ is discrete, cancellative and does not embed in a group. However, we show that the answer is yes for a reasonable class of semigroups.
S. Sundar
wiley +1 more source
The necessity of motoric engagement in enhancing route memory
British Journal of Psychology, Volume 116, Issue 4, Page 1164-1188, November 2025.Abstract The relative contribution of decision‐making and motor engagement at encoding, on route memory, was examined using virtual reality (VR). During encoding, participants explored 12 virtual environments for 40 s each. Navigation strategy during encoding was manipulated within‐subjects.
Yadurshana Sivashankar +4 more
wiley +1 more source
Developments in Functional Regression Model for Network Structured Data
Environmetrics, Volume 36, Issue 7, October 2025.ABSTRACT In this paper, we propose a Network‐Weighted Functional Regression (NWFR) model, an extension of Spatially Weighted Functional Regression (SWFR) to functional data defined on network‐structured settings. To assess predictive uncertainty, we develop a functional conformal prediction procedure that yields a distribution‐free prediction interval ...
Elvira Romano +2 more
wiley +1 more source
Abundant Neighborhoods, Two‐Sided Markets, and Maximal Matchings
Naval Research Logistics (NRL), Volume 72, Issue 7, Page 1022-1035, October 2025.ABSTRACT I introduce a new graph‐theoretic property called abundant neighborhoods. This property is motivated by studying the thickness of economic markets. A vertex is, roughly, guaranteed to match if and only if it has an abundant neighborhood.
Muhammad Maaz
wiley +1 more source
Stability of Interdiction Strategies in Quickest Flow Networks
Networks, Volume 86, Issue 3, Page 263-281, October 2025.ABSTRACT Many, if not all, societies have experienced natural disasters, public protests, traffic congestion, and the smuggling of dangerous goods, among other similar events. Such decision‐making and managerial problems can be studied using a game‐theoretic approach on specific networks.
Shahram Morowati‐Shalilvand +2 more
wiley +1 more source
A Gaussian Process Regression IV Model for PV Outdoor Data
Progress in Photovoltaics: Research and Applications, Volume 33, Issue 10, Page 1093-1108, October 2025.Each electrical performance measure of PV modules needs to be considered in the context of dynamically changing outdoor conditions. In this paper, we introduce a statistical model based on Gaussian process regressions designed to analyze PV outdoor data aiming to utilize all available information.
Timon S. Vaas +4 more
wiley +1 more source
Incorporating Causality Into Deep Learning Architectures to Improve Flash Drought Forecasts
Water Resources Research, Volume 61, Issue 10, October 2025.Abstract Soil moisture flash droughts present challenges to agriculture and ecosystems, leading to widespread socioeconomic impacts. Predicting and providing early warnings for these events remains difficult. We propose a novel deep learning framework, the ResAttCauRec model, which integrates an attention mechanism and additional causal information ...
Sijie Tang +3 more
wiley +1 more source
Searching for Universality of Turbulence in the Earth's Magnetosphere
Journal of Geophysical Research: Space Physics, Volume 130, Issue 10, October 2025.Abstract Turbulence in space plasmas remains a fundamental challenge, and Earth's magnetosphere (MSP) offers a natural laboratory for its study. Using high‐resolution magnetic field data from the Magnetospheric Multiscale (MMS) mission, we extend a stochastic Markovian framework to analyze turbulence across 10 diverse magnetospheric regions, including ...
Dariusz Wójcik, Wiesław M. Macek
wiley +1 more source