Results 111 to 120 of about 46,328 (287)
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley +1 more source
NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification
In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos +8 more
wiley +1 more source
Models for Overdispersed Data in Entomology
Entomological data are often overdispersed, characterised by a larger variance than assumed by simple standard models. It is important to model overdispersion properly in order to avoid incorrect and misleading inferences. Outcomes of interest are often in the form of counts or proportions and we present extended models that incorporate overdispersion,
Demétrio, Clarice G. B. +2 more
openaire +1 more source
We demonstrate that the spread–error relationship, rank histogram, and continuous rank probability score reliability component can falsely indicate reliability under climatological variance biases, yielding ensemble members that are overly or insufficiently extreme.
Arlan Dirkson, Mark Buehner
wiley +1 more source
Modeling response variables in the form of count data generally uses a model based on the Poisson distribution. However, some conditions, such as the presence of excess zero, can be found in the data that result in overdispersion, which will have an ...
Dwi Agustin Nuriani Sirodj +2 more
doaj +1 more source
ABSTRACT Hydropower management has altered discharge regimes of large rivers worldwide, reducing sediment mobilization and early‐seral conditions essential for many riverine species. Spiny softshell turtles (Apalone spinifera) rely on alluvial habitats for nesting and may serve as sentinel species to assess the effects of regulated flow regimes and ...
Kayhan Ostovar +6 more
wiley +1 more source
This study aims to identify key factors influencing high school dropout rates in Indonesia by applying advanced statistical modeling that accounts for complex data characteristics.
Arna Ristiyanti Tarida +2 more
doaj +1 more source
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden +8 more
wiley +1 more source
The aim of this research is to provide a 25-year multi-model analysis of gender dynamics in economics articles that include at least one Romanian-affiliated author, published in Web of Science journals between 2000 and 2025 (2025 records current as of 15
Daniela-Emanuela Dănăcică
doaj +1 more source
ABSTRACT This systematic review reconceptualizes inclusive education (IE) as a cross‐cutting strategy for sustainable development. We analyze 2729 articles published between 2015 and 2025, identifying 357 that explicitly address sustainability. Using PRISMA 2020, bibliometric mapping, and binomial generalized linear models, we examine temporal ...
Mustafa Enes Işıkgöz +1 more
wiley +1 more source

