Results 121 to 130 of about 47,776 (252)

MCMC Correction of Score-Based Diffusion Models for Model Composition. [PDF]

open access: yesEntropy (Basel)
Sjöberg A   +4 more
europepmc   +1 more source

Ecology of reintroduced Rocky Mountain bighorn sheep in Dinosaur National Monument La Ecología de Borrego Cimarron de las Montañas Rocosas Reintroducido en el Monumento Nacional de Dinosaurio

open access: yesWildlife Monographs, Volume 223, Issue 1, August 2026.
We synthesized GPS telemetry, genetic, and pathogen data to evaluate metapopulation processes in a reintroduced Rocky Mountain bighorn sheep (Ovis canadensis canadensis) population in Dinosaur National Monument. We estimated subpopulation‐specific abundances and found 4 small subpopulations with high genetic diversity, partial connectivity, and ...
Sarah L. Carroll   +8 more
wiley   +1 more source

A Methodological Review of Simulation Studies Published in Pharmacoepidemiology and Drug Safety. [PDF]

open access: yesPharmacoepidemiol Drug Saf
Muddiman R   +8 more
europepmc   +1 more source

Activity Patterns and Stress—Prognostic Factors for Pain Persistence and Disability in Acute Neck Pain: A 1‐Year Prospective Cohort Study

open access: yesEuropean Journal of Pain, Volume 30, Issue 6, July 2026.
ABSTRACT Background Neck pain (NP) is a common global health problem, and persistent symptoms are often linked to psychological stress. How individuals respond to pain during daily activities is captured by activity patterns (eustress persistence, distress persistence, activity pacing and fear avoidance).
Rita Morf   +3 more
wiley   +1 more source

Beyond Average Hive Performance: Tail Risk Measurement in Italian Apiculture With Honey‐at‐Risk

open access: yesEnvironmetrics, Volume 37, Issue 5, July 2026.
ABSTRACT This paper provides a framework for measuring honey‐production risk that complements standard mean‐based analyses by explicitly targeting downside tail risk. Using hive‐weight data from a large sample of Italian hives over the period 2021–2024, downside tail risk is quantified through the Honey‐at‐Risk (HaR) metric, defined as the quantile of ...
Alessio Brini   +3 more
wiley   +1 more source

Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 9, Page 1828-1844, 25 July 2026.
ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley   +1 more source

Coherent Forecasting of Realized Volatility

open access: yesJournal of Forecasting, Volume 45, Issue 4, Page 1714-1729, July 2026.
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley   +1 more source

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