Results 291 to 300 of about 3,032,172 (354)

The European honey buzzard (Pernis apivorus) as an ally for the control of the invasive yellow‐legged hornet (Vespa velutina nigrithorax)

Pest Management Science, Volume 81, Issue 4, Page 2237-2247, April 2025.
The predatory effect of the honey‐buzzard affects the reproductive performance of Asian‐hornet colonies, decreasing the density of workers over distance and time. The foraging distances of the honey‐buzzard concentrates within the first 2000 m from nest, which supports the results observed.
Jorge Ángel Martín‐Ávila, Luisa María Díaz‐Aranda, José Manuel Fernández‐Pereira, Salvador Rebollo   +3 more
wiley   +1 more source

Correction: Analysis of human capital effects introducing Bayesian quantile regression in the process of industrial structural upgrading. [PDF]

PLoS One
Wang X, Shi S.
europepmc   +1 more source

Lifestyle and Obesity in Canada-A Quantile Regression Approach

, 2019
Khandoker Monjure Kabir
openalex   +1 more source

The impact of Arctic sea‐ice loss on winter weather in the British Isles

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Arctic sea‐ice loss shifts the North Atlantic jet and storm track equatorward, and results in a more negative North Atlantic Oscillation and more positive East Atlantic and Scandinavian patterns. Strong extratropical cyclones weaken and become less frequent for the British Isles, but there is model disagreement for precipitation, surface winds, and ...
Stephanie Hay, Ed Blockley, Jennifer L. Catto, Helene Hewitt, Y. T. Eunice Lo, James A. Screen, Doug Smith, Hao Yu   +7 more
wiley   +1 more source

Investigating the impact of investor attention on AI-based stocks: A comprehensive analysis using quantile regression, GARCH, and ARIMA models. [PDF]

PLoS One
Ravichandran S, Afjal M.
europepmc   +1 more source

Fuzzy postprocessing of seasonal climate forecasts for semiarid river basins

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Meteorological forecasts from AI‐based fuzzy rule‐based system (FRB) are compared to linear scaling (LS) and quantile mapping (QM). Seasonal forecasts from the Copernicus Climate Change Service (C3S) are considered. Results show that the highest skill is achieved for the FRB approach.
Dariana Isamel Avila‐Velasquez, Hector Macian‐Sorribes, Manuel Pulido‐Velazquez   +2 more
wiley   +1 more source

Beyond predictive R²: Quantile regression and non-equivalence tests reveal complex relationships of traits and polygenic scores. [PDF]

Am J Hum Genet
Mefford J, Smullen M, Zhang F, Sadowski M, Border R, Dahl A, Flint J, Zaitlen N.   +7 more
europepmc   +1 more source

Ensemble Kalman filter in latent space using a variational autoencoder pair

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans, Yumeng Chen, Tobias Sebastian Finn, Marc Bocquet, Alberto Carrassi   +4 more
wiley   +1 more source

A Bayesian quantile regression approach for determining risk factors of low birth weight of under five children in Cambodia. [PDF]

Sci Rep
Hossain MM.
europepmc   +1 more source

Data assimilation with extremum Monte Carlo methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley   +1 more source