Results 151 to 160 of about 444,422 (231)

Physics‐Constrained Variational Autoencoder for Uncertainty Quantification of Full Waveform Inversion

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract We propose a variational autoencoder framework to directly assess uncertainties in subsurface models produced by single‐ and multiparameter full waveform inversion (FWI). The new method does not require pretraining on labeled data, thus it significantly reduces computational cost and storage requirements.
Abdelrahman Elmeliegy   +4 more
wiley   +1 more source

Navigating Supply Shocks: Sector Resilience and Production Prices Through Stochastic Input–Output Modeling

open access: yesMathematical Finance, Volume 36, Issue 4, Page 826-845, October 2026.
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici   +3 more
wiley   +1 more source

Modeling GHG Emissions Across Selected South Asian Countries Using a Unit Log‐Log Quantile Mixed Model

open access: yesEnvironmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT This study examines greenhouse gas (GHG) emissions in South Asian countries by analyzing both their proportion relative to global emissions and total emissions, along with key country‐level determinants. To address the bounded (0‐1) and correlated nature of the GHG proportion, this study proposes a new Bayesian Unit Log‐Log Quantile Mixed ...
Nirajan Bam
wiley   +1 more source

Models for Temporal Clustering of Extreme Events With Applications to Mid‐Latitude Winter Cyclones

open access: yesEnvironmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT The occurrence of extreme events like heavy precipitation or storms at a certain location often shows a clustering behavior and is thus not described well by a Poisson process. We construct a general model for the inter‐exceedance times (IETs) in between extreme events which combines different candidate models for such behavior. One of them is
Christina Mathieu   +3 more
wiley   +1 more source

Teaching Bayes' Theorem: Strength of Evidence As Predictive Accuracy

open access: yes, 2017
Although teaching Bayes' theorem is popular, the standard approach---targeting posterior distributions of parameters---may be improved. We advocate teaching Bayes' theorem in a ratio form where the posterior beliefs relative to the prior beliefs equals ...
Richard D. Morey, Jeffrey N. Rouder
core  

Empirical Model of Post‐Earthquake Restoration Time for Building Components Based on Data From the 2022 Fukushima‐ken Oki Earthquake in Japan

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 11, Page 2897-2915, September 2026.
ABSTRACT Estimation of the time required for damaged building components to return to their pre‐earthquake conditions through repair is a critical element in assessing the seismic resilience of buildings, and it requires consideration of uncertainty.
Tomoaki Nishino   +5 more
wiley   +1 more source

A Two‐Stage Hybrid Feature Selection and Ensemble Learning Framework With Explainable AI for Accurate PCOS Prediction

open access: yesHealth Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Polycystic ovary syndrome (PCOS) is the most prevalent endocrine ailment impacting women of reproductive age, distinguished by ongoing imbalances of hormones that lead to the growth of various ovarian cysts alongside other health issues.
Md. Rakibul Hasan Efty   +4 more
wiley   +1 more source

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