Results 111 to 120 of about 4,469 (193)

Basal Force Probability Distributions in Thin‐Layer Granular Flows

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Extreme geophysical flows, such as granular and debris flows, can significantly shape the landscape in steep lands and generate seismic signals that can be recorded over long distances. However, direct field measurements needed to constrain the granular physics remain difficult due to the damage potential of those flows.
Jun Fang, Hui Tang, Yifei Cui, Jens M. Turowski, Lu Jing, Clarence Edward Choi   +5 more
wiley   +1 more source

A View on Optimal Transport from Noncommutative Geometry

Symmetry, Integrability and Geometry: Methods and Applications, 2010
We discuss the relation between the Wasserstein distance of order 1 between probability distributions on a metric space, arising in the study of Monge-Kantorovich transport problem, and the spectral distance of noncommutative geometry.
Francesco D'Andrea, Pierre Martinetti
doaj   +1 more source

Parameter estimation from aggregate observations: a Wasserstein distance-based sequential Monte Carlo sampler. [PDF]

R Soc Open Sci, 2023
Cheng C, Wen L, Li J.
europepmc   +1 more source

Fine‐Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Recent advances in AI weather forecasting have led to the emergence of so‐called “foundation models”, typically defined by expensive pretraining and minimal fine‐tuning for downstream tasks. However, in the natural sciences, a desirable foundation model should also encode meaningful statistical relationships between the underlying physical ...
Fanny Lehmann, Firat Ozdemir, Benedikt Soja, Torsten Hoefler, Siddhartha Mishra, Sebastian Schemm   +5 more
wiley   +1 more source

Wasserstein distance in terms of the comonotonicity copula

Stochastics
In this article, we represent the Wasserstein metric of order $p$, where $p\in [1,\infty)$, in terms of the comonotonicity copula, for the case of probability measures on $\R^d$, by revisiting existing results. In 1973, Vallender established the link between the $1$-Wasserstein metric and the corresponding distribution functions for $d=1$.
Mariem Abdellatif, Peter Kuchling, Barbara Rüdiger, Irene Ventura   +3 more
openaire   +4 more sources

EnScale: Temporally‐Consistent Multivariate Generative Downscaling via Proper Scoring Rules

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract The practical use of future climate projections from global circulation models (GCMs) is often limited by their coarse spatial resolution, requiring downscaling to generate high‐resolution data. Regional climate models (RCMs) provide this refinement, but are computationally expensive.
Maybritt Schillinger, Maxim Samarin, Xinwei Shen, Reto Knutti, Nicolai Meinshausen   +4 more
wiley   +1 more source

Entropy–Mean–Upper Partial Deviation–Absolute Deviation Portfolio Problem and Its Wasserstein Distributionally Robust Counterpart

IEEE Access
This paper proposes an Entropy–Mean–Upper partial deviation–Absolute Deviation (EMUAD) portfolio problem, introducing entropy to reduce investment risk and enhance portfolio diversification while simultaneously considering metrics ...
Haonan Wang, Mingyang Fan, Bowen Liu
doaj   +1 more source

The Gromov–Wasserstein Distance Between Spheres

Foundations of Computational Mathematics
Abstract The Gromov–Wasserstein distance—a generalization of the usual Wasserstein distance—permits comparing probability measures defined on possibly different metric spaces. Recently, this notion of distance has found several applications in Data Science and in Machine Learning.
Shreya Arya, Arnab Auddy, Ranthony A. Clark, Sunhyuk Lim, Facundo Mémoli, Daniel Packer   +5 more
openaire   +2 more sources

Estimating Baseline Flow Resistance Parameters for Remote Sensing River Discharge (RSQ) From River Morphology Characteristics

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 4, August 2026.
ABSTRACT This study demonstrates that flow resistance in rivers, quantified via calibration of a modified Manning's equation, can inform its estimation from channel hydrometric information available from regional or global datasets for a limited set (N = 14) of rigorously calibrated river reaches in Alaska and with less certainty in a large set (N ...
David M. Bjerklie, Merritt E. Harlan, Ethan J. Shavers, Craig B. Brinkerhoff, Lawrence V. Stanislawski, J. Toby Minear, Robert W. Dudley   +6 more
wiley   +1 more source

On Metric Choice in Dimension Reduction for Fréchet Regression

International Statistical Review, Volume 94, Issue 2, Page 325-346, August 2026.
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale, Congli Ma, Siyu Chen, Obed Koomson   +3 more
wiley   +1 more source