Results 111 to 120 of about 15,773 (265)

Agent‐based versus correlative models of species distributions: Evaluation of predictive performance with real and simulated data

Methods in Ecology and Evolution
Species distribution models (SDMs) have been widely used in ecology to understand how species relate to environmental variation. Most SDMs are correlative, and they lack explicit reference to the underlying processes, and therefore, the reliability of ...
Jukka Sirén, Panu Somervuo, Otso Ovaskainen   +2 more
doaj   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry   +4 more
wiley   +1 more source

An objective Bayesian method for including parameter uncertainty in ensemble model output statistics

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson, Leonardo Olivetti, Gabriele Messori, Paul J. Northrop, Trevor Sweeting   +4 more
wiley   +1 more source

Bivariate postprocessing of wind vectors

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner, David Jobst, Annette Möller, Claudia Czado   +3 more
wiley   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

A Robust Self‐Starting Bayesian Approach for Multivariate Phase II Monitoring

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Traditional multivariate control charts require in‐control (IC) parameter estimates to be known or estimated from a large set of uncontaminated, historical Phase I observations. However, some processes need to be monitored when little Phase I data are available, and self‐starting approaches, including Bayesian methods, have proven useful. Self‐
Taylor R. Grimm, Kathryn B. Newhart, Amanda S. Hering   +2 more
wiley   +1 more source

Advancing Sustainable Development Through Exports of Clean Energy Products From Emerging Asian Economies: A Poisson Pseudo Maximum Likelihood Estimation Approach

Sustainable Development, EarlyView.
ABSTRACT The promotion of clean energy is critical to achieving sustainable development. This study investigates the factors that affect the exports, trade potential, and revealed comparative advantage (RCA) of clean energy products (CEPs) in the emerging Asian economies (EAEs).
Arvind Goswami, Rajesh Kumar Jangir, Vijay Kumar Chattu   +2 more
wiley   +1 more source

Correcting model misspecification in relationship estimates

1.AbstractThe datasets of large genotyping biobanks and direct-to-consumer genetic testing companies contain many related individuals. Until now, it has been widely accepted that the most distant relationships that can be detected are around fifteen degrees (approximately 8thcousins) and that practical relationship estimates have a ceiling around ten ...
openaire   +2 more sources

Unlocking Financial Inclusion: The Dynamics of Bank Account Ownership in Urban Slums

Sustainable Development, EarlyView.
ABSTRACT Financial inclusion is a key driver of sustainable development, contributing to poverty reduction (SDG 1), gender equality (SDG 5), and reduced inequalities (SDG 10). Despite extensive financial‐inclusion policies in India, residents of urban slums remain largely excluded from formal banking systems.
Davide Moro, Sivia Trentin, Lucia Dalla Pellegrina, Paolo Landoni   +3 more
wiley   +1 more source

From Green Strategy to Sustainable Development: Corporate Efforts Toward SDG 12 and SDG 13

Sustainable Development, EarlyView.
ABSTRACT Firms are increasingly integrating United Nations Development Goals 12 (Responsible consumption and production) and 13 (Climate action) as a part of their sustainability strategies. However, prior research has rarely examined how these SDGs interact as a unified capability rather than as isolated practices.
Post Raj Pokharel
wiley   +1 more source