Results 181 to 190 of about 4,387 (252)

Using genomic selection to examine subgenome dominance and epistasis in allopolyploid strawberry

open access: yesThe Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Allopolyploids are organisms that possess multiple sets of chromosomes derived from distinct ancestral species, resulting in multiple subgenomes. Many important crops are allopolyploid, including wheat (Triticum aestivum), cotton (Gossypium hirsutum), coffee (Coffea arabica), and strawberry (Fragaria × ananassa).
Joshua A. Sleper   +3 more
wiley   +1 more source

A Comparison of Monte Carlo Based Marginal Likelihood Estimators

open access: yesWIREs Computational Statistics, Volume 18, Issue 1, March 2026.
Comparison of marginal likelihood estimation methods. ABSTRACT Marginal likelihood plays a central role in Bayesian model comparison and hypothesis testing, but its computation is often challenging in practice. This article reviews recent Monte Carlo methods that rely on the availability of Markov chain Monte Carlo (MCMC) samples from the posterior and
Aolan Li   +5 more
wiley   +1 more source

Dynamic Earthquake Source Inversion With Generative Adversarial Network Priors

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract Dynamic earthquake source inversion consists of inferring frictional parameters and initial stress on a fault consistent with recorded seismological and geodetic data and with dynamic earthquake rupture models. In a Bayesian inversion approach, the nonlinear relationship between model parameters and data requires a computationally demanding ...
Jan Premus, Jean Paul Ampuero
wiley   +1 more source

DiffScale: Continuous Downscaling and Bias Correction of Subseasonal Wind Speed Forecasts Using Diffusion Models

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 3, March 2026.
Abstract Renewable energy generation is highly sensitive to both local and large‐scale atmospheric dynamics. Skillful subseasonal to seasonal (S2S) forecasts—ranging from 2 weeks to two months—can provide substantial socioeconomic benefits for the energy sector.
Maximilian Springenberg   +3 more
wiley   +1 more source

Variational and Monte Carlo Methods for Bayesian Inversion of Dynamic Subsurface Flow Simulations Using Seismic and Fluid Pressure Data

open access: yesWater Resources Research, Volume 62, Issue 3, March 2026.
Abstract In order to predict future performance of subsurface fluid reservoirs under possible operating scenarios, a dynamic, porous‐medium flow simulation model must be tuned to include representative properties of the reservoir. Estimating subsurface reservoir properties given remotely sensed or borehole‐based observations typically involves finding ...
Zhen Zhang, Xuebin Zhao, Andrew Curtis
wiley   +1 more source

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