Results 111 to 120 of about 3,307,614 (190)
Sparse Minimum Redundancy Maximum Relevance for Feature Selection
Scandinavian Journal of Statistics, Volume 53, Issue 3, Page 1134-1151, September 2026.ABSTRACT We propose a feature screening method that integrates both feature–feature and feature–target relationships. Inactive features are identified via a penalized minimum Redundancy Maximum Relevance (mRMR) procedure, which is the continuous version of the classical mRMR penalized by a non‐convex regularizer, and where the parameters estimated as ...
Peter Naylor +3 more
wiley +1 more source
Journal of Geospatial Science and AnalyticsWest Java is one of Indonesia’s largest rice-producing provinces. However, rice production has declined by 23.07% since 2018 due to land conversion. Therefore, this study investigates the factors influencing rice productivity by modeling and mapping the ...
I Putu Aditya Brama Putra Cakra Negara +2 more
doaj +1 more source
Designing Proposal Distributions for Particle Filters using Integrated Nested Laplace Approximation
, 2023 State-space models are used to describe and analyse dynamical systems. They are ubiquitously used in many scientific fields such as signal processing, finance and ecology to name a few. Particle filters are popular inferential methods used for state-space methods. Integrated Nested Laplace Approximation (INLA), an approximate Bayesian inference method,
openaire +2 more sources
A Bayesian method to include spatial correlation structure of residuals in empirical ground-motion models is presented, based on the integrated nested Laplace approximation. The method is evaluated on a simulated data set as well as Italian strong-motion
Kuehn, Nicolas
core +1 more source
MicroorganismsLa Crosse virus (LACV) is a rare cause of pediatric encephalitis, yet identifying and mitigating transmission foci is critical to detecting additional cases.
Maggie McCarter +6 more
doaj +1 more source
Nested Maximin Latin Hypercube Designs [PDF]
In the field of design of computer experiments (DoCE), Latin hypercube designs are frequently used for the approximation and optimization of black-boxes.
Rennen, G. +3 more
core
Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia
Scientific ReportsIn this study, we modelled the incidence of COVID-19 cases and hospitalisations by basic health areas (ABS) in Catalonia. Spatial, temporal and spatio-temporal incidence trends were described using estimation methods that allow to borrow strength from ...
Pau Satorra, Cristian Tebé
doaj +1 more source
Critical Public HealthLeptospirosis is a global zoonosis and environmental health problem because of its strong association with environmental factors. Although spatiotemporal statistics can estimate area-specific risk indicators, very few spatiotemporal analyses are done at ...
Javier Cortes-Ramirez +5 more
doaj +1 more source
Integrated nested Laplace approximation
This work explores Bayesian inference for Generalized Linear Mixed Ef- fects Models (GLMMs), essential tools for analyzing hierarchical and group- structured data.
Gemrotová, Kateřina
core
Model selection for mixture model via integrated nested Laplace approximation
Electronics Letters, 2015 To cluster or partition data/signal, expectation‐and‐maximisation or variational approximation with a mixture model (MM), which is a parametric probability density function represented as a weighted sum of K̂ densities, is often used. However, model selection to find the underlying K̂ is one of the key concerns in MM clustering, since the desired ...
openaire +1 more source