Results 101 to 110 of about 23,924 (195)
Spatial depth for data in metric spaces
Scandinavian Journal of Statistics, EarlyView.Abstract We propose a novel measure of statistical depth, the metric spatial depth, for data residing in an arbitrary metric space. The measure assigns high (low) values for points located near (far away from) the bulk of the data distribution, allowing quantifying their centrality/outlyingness.
Joni Virta
wiley +1 more source
A note on the Bures-Wasserstein metric
, 2023 In this brief note, it is shown that the Bures-Wasserstein (BW) metric on the space positive definite matrices lends itself to convex optimization. In other words, the computation of the BW metric can be posed as a convex optimization problem. In turn, this leads to efficient computations of (i) the BW distance between convex subsets of positive ...
openaire +2 more sources
Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.This review presents a new taxonomy to summarize one‐class classification (OCC) algorithms and their applications. The main argument is that OCC should not learn multiple classes. The paper highlights common violations of OCC involving multiple classes.
Toshitaka Hayashi +3 more
wiley +1 more source
Wasserstein metric and subordination [PDF]
Studia Mathematica, 2008 Philippe Clément, Wolfgang Desch
openaire +1 more source
Systematic Benchmarking of Climate Models: Methodologies, Applications, and New Directions
Reviews of Geophysics, Volume 64, Issue 1, March 2026.Abstract As climate models become increasingly complex, there is a growing need to comprehensively and systematically assess model performance with respect to observations. Given the increasing number and diversity of climate model simulations in use, the community has moved beyond simple model intercomparison and toward developing methods capable of ...
Birgit Hassler +14 more
wiley +1 more source
Optimal transport on gas networks
European Journal of Applied MathematicsOptimal transport tasks naturally arise in gas networks, which include a variety of constraints such as physical plausibility of the transport and the avoidance of extreme pressure fluctuations. To define feasible optimal transport plans, we utilize a
Ariane Fazeny +2 more
doaj +1 more source
Skorohod Representation Theorem Via Disintegrations [PDF]
Let (µn : n >= 0) be Borel probabilities on a metric space S such that µn -> µ0 weakly. Say that Skorohod representation holds if, on some probability space, there are S-valued random variables Xn satisfying Xn - µn for all n and Xn -> X0 in probability.
Luca Pratelli +2 more
core
Language Learning, Volume 76, Issue 1, Page 67-102, March 2026.Abstract This study investigates how distributional cues are integrated into the mental representation of the as‐predicative construction by English native and nonnative speakers, drawing on associative learning theory. We examined speakers’ constructional retrieval when given a verbal cue (Experiment 1) and their verb retrieval when given a ...
Ivana Domazetoska, Helen Zhao
wiley +1 more source
Discussion of ‘Robust distance covariance’ by S. Leyder, J. Raymaekers and P. J. Rousseeuw
International Statistical Review, EarlyView.
Hallin Marc +3 more
wiley +1 more source
Maternal &Child Nutrition, Volume 22, Issue 1, March 2026.Suaahara, relative to comparison areas, reduced maternal underweight and improved complementary feeding practices with children 6–23.9 months of age, increasing the percentages of children having minimum dietary diversity, minimum meal frequency and minimum acceptable diet; feeding sick child more and administering oral rehydration solution and zinc ...
Edward A. Frongillo +10 more
wiley +1 more source