Results 31 to 40 of about 241,605 (175)
Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley +1 more source
Taller 4: Regresión lineal múltiple Econometría 06216 [PDF]
Taller 4: Regresión lineal múltiple Econometría 06216. Elaborado por el profesor Julio César Alonso Cifuentes de la Facultad de Ciencias Administrativas y Económicas – Universidad Icesi.
Alonso Cifuentes, Julio César
core
Joint copula‐based beta regression with covariate‐dependent dispersion for malaria indicators
Abstract Malaria surveillance relies on multiple indicators that reflect different aspects of transmission and disease burden, yet these outcomes are often analyzed separately under constant‐variance assumptions. Such approaches may obscure residual dependence and heterogeneity in variability. Using Demographic and Health Survey data from Burkina Faso (
Guanjie Lyu, Cindy Feng
wiley +1 more source
Abstract Modeling species distributions in dynamic pelagic environments remains challenging, particularly for wide‐ranging and highly mobile species when there is limited guidance on model performance. This limitation constrains the effective use of species distribution models (SDMs) in marine conservation, where robust and transferable predictions are
E. Pasanisi +32 more
wiley +1 more source
ESTIMACIÓN DE LA RADIACIÓN NETA DIARIA A PARTIR DE MODELOS DE REGRESIÓN LINEAL MÚLTIPLE
El conocimiento a escala diaria de la radiación neta (Rn) permite cuantificar la energía que es utilizada en los diferentes procesos que ocurren a nivel de la superficie, como la evapotranspiración. En este estudio se aplica un Modelo de Regresión Lineal
Dora Ocampo, Raúl Rivas
doaj +1 more source
Una aplicación hidrológica de la regresión lineal múltiple ponderada
La regresión lineal múltiple tiene dos aplicaciones hidrológicas básicas: (1) ampliar registros cortos con base en series largas cercanas, y (2) deducir ecuaciones empíricas que permiten estimar, en sitios de interés sin aforos, crecientes de diseño (QTr)
Daniel Francisco Campos-Aranda
doaj
Abstract Protected areas cannot halt biodiversity loss in isolation; integrating them with surrounding human‐dominated landscapes is critical. However, this integration is challenged by substantial landscape heterogeneity at protected area borders, making it difficult to determine cross‐border changes in ecosystem service provision.
Alberto González‐García +7 more
wiley +1 more source
Rethinking EU environmental law: Towards the ecologisation of the European legal order
Abstract This article critically examines the structural limitations of the EU's environmental legal framework in the context of the current ecological crisis and explores the potential transition towards an ecocentric paradigm. While the EU has developed one of the most advanced environmental regulatory systems globally, its effectiveness remains ...
Susana Borràs‐Pentinat
wiley +1 more source
Maximum Gape in Developing Macaca mulatta
ABSTRACT Objectives Maximum gape and bite force are two key metrics of primate craniodental performance, but without mitigating adaptations, large gapes are associated with reduced bite force. Primate craniodental morphology undergoes functional transitions across development, but how these performance variables vary with life‐history transitions is ...
Stephanie L. Canington +11 more
wiley +1 more source
En el artículo denominado “Regresión Lineal Simple:interpretación de resultados de Excel”, explicaba la importancia para las empresas de un pronóstico lo más cercano posible a la realidad. Una empresa cuyos pronósticos fueran superiores a la demanda real
Girón, Freddy Rolando
core +1 more source

