Results 161 to 170 of about 27,002 (295)

Context‐aware machine learning for lameness side and severity prediction in trotting horses: A proof‐of‐concept study

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background In clinical practice, lameness evaluation often relies on visual assessment under different examination conditions, including ground and figures, and remains subjective. Although objective symmetry indices provide quantitative measures of gait asymmetry, their interpretation across multiple conditions remains challenging because ...
Mahaut Gérard   +9 more
wiley   +1 more source

Admissibility of prediction intervals

open access: yes
Prediction interval, admissibility, invariance, location family, scale family, location and scale family,
Yoshikazu Takada
core   +1 more source

Verification of an Incompressible Viscoelastic Flow Solver Using the Method of Manufactured Solutions for Oldroyd‐B and Giesekus Constitutive Models

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
This study utilizes the Method of Manufactured Solutions (MMS) to validate high‐order compact finite‐difference schemes for 2D incompressible viscoelastic flows. By applying Oldroyd‐B and Giesekus models to a lid‐driven cavity benchmark, the researchers rigorously assessed numerical accuracy across varying Reynolds and Weissenberg numbers.
Juniormar Organista   +5 more
wiley   +1 more source

Temporal Robustness in Cross‐Country Gross Domestic Product Forecasting: Evidence From Classical, Regime‐Switching, and Ensemble Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This study evaluates whether the relative performance of gross domestic product forecasting models is temporally robust across economies and changing macroeconomic conditions. Using annual real gross domestic product data from the World Bank for 177 separately reported economies and territories, we conduct a common‐vintage pseudo‐out‐of‐sample
Achilleas Tampouris, Chaido Dritsaki
wiley   +1 more source

Loss‐Aware Forecast Construction for Realized Variance

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasts of realized variance are commonly constructed from models of log‐realized variance and then transformed back to the original scale. However, the resulting forecasts are often evaluated using loss functions defined in relative rather than absolute terms, creating a potential mismatch between forecast construction and forecast ...
Nick Taylor
wiley   +1 more source

MARS‐Diff: Guarded Residual Diffusion for Leakage‐Disciplined Probabilistic Portfolio‐Loss Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper develops Masked Asset–Regime Scenario Diffusion (MARS‐Diff), a leakage‐disciplined framework for probabilistic forecasting of multiday portfolio losses. The framework combines a regularized heterogeneous autoregressive model with exogenous predictors (HAR‐X) as its anchor, a train‐only masked representation of a high‐dimensional ...
Çağlar Sözen, Mervenur Sözen
wiley   +1 more source

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