Results 81 to 90 of about 6,671 (202)
Generalized Additive Models (GAMs) via Bayesian P-splines using INLA [PDF]
, 2019 IFCS 2015 celebrated Generalized Additive Models (GAMs) with its back-fitting algorithm. With P-splines a direct fitting algorithm is feasible. With a prior on the smoothing parameter, Bayesian GAMs are obtained, which allow credible intervals that ...
Cajo ter Braak (4511542)
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Modelación espacio-temporal de la incidencia acumulada de COVID-19 en municipios de Chiapas
ESPACIO I+D: Innovación más Desarrollo, 2020 El trabajo tiene como finalidad analizar la evolución de la tasa de incidencia acumulada de COVID-19 en los municipios de Chiapas, entre los meses de Febrero a Julio del año 2020, a partir de la aplicación de tres modelos bayesianos jerárquicos espacio ...
Gerardo Núñez Medina
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New opportunities for grassland species in warming temperate winters
Functional Ecology, Volume 40, Issue 5, Page 1138-1150, May 2026.Read the free Plain Language Summary for this article on the Journal blog. Abstract Temperate winters are getting warmer, the length of the growing season is increasing and mid‐winter fluctuations of warm and freezing temperatures are more frequent. Although typically winter dormant, some herbaceous perennials can maintain or grow green leaves during ...
F. Curtis Lubbe +3 more
wiley +1 more source
Integrated Nested Laplace Approximations (INLA)
, 2019 This is a short description and basic introduction to the Integrated nested Laplace approximations (INLA) approach. INLA is a deterministic paradigm for Bayesian inference in latent Gaussian models (LGMs) introduced in Rue et al. (2009). INLA relies on a combination of analytical approximations and efficient numerical integration schemes to achieve ...
Martino, Sara, Riebler, Andrea
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Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping. [PDF]
, 2015 The recently developed R package INLA (Integrated Nested Laplace Approximation) is becoming a more widely used package for Bayesian inference. The INLA software has been promoted as a fast alternative to MCMC for disease mapping applications.
WATJOU, Kevin +5 more
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Crime ScienceCrime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman +6 more
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mBioThe cellular junctional architecture remodeling by Listeria adhesion protein-heat shock protein 60 (LAP-Hsp60) interaction for Listeria monocytogenes (Lm) passage through the epithelial barrier is incompletely understood.
Rishi Drolia +13 more
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Media Statistika, 2019 Poverty is a complex and multidimensional problem so that it becomes a development priority. Applications of poverty modeling in discrete data are still few and applications of the Bayesian paradigm are also still few.
Retsi Firda Maulina +2 more
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Distributed inference with INLA [PDF]
Distributed inference is often used to reduce computational costs and memory usage, but it is also essential in cases where processing all the data jointly is not feasible.
Figueira, Mario
core
EconometricsWe compare three modern Bayesian approaches, Hamiltonian Monte Carlo (HMC), Variational Bayes (VB), and Integrated Nested Laplace Approximation (INLA), for two classic spatial econometric specifications: the spatial lag model and spatial error model. Our
Yuheng Ling, Julie Le Gallo
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