Results 71 to 80 of about 1,032,480 (246)
Robust Estimation of Causal Heteroscedastic Noise Models
Accepted at the 2024 SIAM International Conference on Data Mining (SDM24)
Quang-Duy Tran +3 more
openaire +3 more sources
ABSTRACT Background Brain development is altered in neonates with congenital heart disease (CHD), with well‐characterised reductions in regional brain volumes and enlargement of CSF spaces. However, perioperative morphological changes remain incompletely understood. Purpose To identify brain regions showing spatial patterns of coordinated expansion and
Mirthe E. M. van der Meijden +14 more
wiley +1 more source
Gaussian Processes (GP) have become popular machine learning methods for kernel based learning on datasets with complicated covariance structures. In this paper, we present a novel extension to the GP framework using a contaminated normal likelihood ...
Daniel Iong +5 more
doaj +1 more source
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo +5 more
wiley +1 more source
ABSTRACT Growing environmental pressures and climate‐related risks have intensified concerns regarding population health and sustainability. This study explores how the predictive relationship between public health and key sustainability indicators, such as agricultural emissions, forests, governance, digitalization, green energy, and climate outcomes,
Jiyang Cheng +4 more
wiley +1 more source
A geometric characterization of c-optimal designs for heteroscedastic regression [PDF]
We consider the common nonlinear regression model where the variance as well as the mean is a parametric function of the explanatory variables. The c-optimal design problem is investigated in the case when the parameters of both the mean and the variance
Dette, Holger, Holland-Letz, Tim
core
Uncertainty-aware structure–property mapping of spinodoid metamaterials
Spinodoid metamaterials provide a tunable design space for anisotropic mechanical properties, but their structure–property relationships are commonly represented as deterministic mappings from cone-angle descriptors to single stiffness values.
Minwoo Park +6 more
doaj +1 more source
ABSTRACT This paper examines strategic responses to alternative enforcement designs in professional basketball. Using NBA player‐level panel data, we study two anti‐flopping reforms: ex post financial fines introduced in 2012–2013 and in‐game technical fouls implemented in 2023–2024.
Martín ‐Legendre +5 more
wiley +1 more source
Abstract High aggregate levels of wildlife consumption in cities in Central Africa highlight the need for solutions that balance wildlife protection, local livelihoods and the relational values between people and nature. This study explores the impacts of demand‐ and supply‐side interventions on wild meat consumption through two randomized control ...
Abdoulaye Cisse +2 more
wiley +1 more source
Belief and the beast: Religion and attitudes towards tigers in Central India
Abstract Human perceptions of wildlife are critical to shaping conservation outcomes, particularly in landscapes where people coexist with large carnivores. Religion, a deeply rooted sociocultural force, remains underexplored in the context of human–wildlife conflict.
Sathvika Krishnan +4 more
wiley +1 more source

