Results 91 to 100 of about 3,308,371 (168)

Integrated Nested Laplace Approximations within Monte Carlo Methods [PDF]

, 2020
Integrated Nested Laplace Approximations (INLA) er en deterministisk metode for å oppnå bayesiansk inferens på latente gaussiske modeller (LGMer) og fokuserer på raske og nøyaktige approksimasjoner av marginale posteriori-fordelinger for parametrene i en
Berild, Martin Outzen
core   +1 more source

Spatial Models Using Laplace Approximation Methods

, 2019
Bayesian inference has been at the center of the development of spatial statistics in recent years. In particular, Bayesian hierarchical models including several fixed and random effects have become very popular in many different fields.
Håvard Rue, Virgilio Gómez-Rubio, Gómez-Rubio, Virgilio, Roger S. Bivand, Rue, Haavard, Bivand, Roger S.   +5 more
core   +1 more source

Mapping and understanding the regional farmland SOC distribution in southern China using a Bayesian spatial model

Geoderma
Information on the spatial distribution of soil organic carbon (SOC) in regional farmland is crucial for improving management and production. Mapping SOC in farmlands is challenging due to the strong variation of SOC caused by the influence of natural ...
Bifeng Hu, Yibo Geng, Hanjie Ni, Zhou Shi, Zheng Wang, Nan Wang, Jipeng Luo, Modian Xie, Qian Zou, Thomas Optiz, Hongyi Li   +10 more
doaj   +1 more source

Spatiotemporal modeling of ecological and sociological predictors of West Nile virus in Suffolk County, NY, mosquitoes

Ecosphere, 2017
Suffolk County, New York, is a locus for West Nile virus (WNV) infection in the American northeast that includes the majority of Long Island to the east of New York City.
Mark H. Myer, Scott R. Campbell, John M. Johnston   +2 more
doaj   +1 more source

Implementing approximate Bayesian inference for survival analysis using integrated nested Laplace approximations

, 2010
This manual describes theinla program, a new instrument which allows the user to easily perform approximate Bayesian inference using integrated nested Laplace approximation (INLA). We describe the set of models which can be solved by the inla program and
Sara Martino
core  

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  

Bayesian models for missing and misclassified variables using integrated nested Laplace approximations [PDF]

Misclassified variables used in regression models, either as a covariate or as the response, may lead to biased estimators and incorrect inference. Even though Bayesian models to adjust for misclassification error exist, it has not been shown how these ...
Bastos, Leonardo Soares, Muff, Stefanie, Rue, Håvard, Skarstein, Emma   +3 more
core   +1 more source

PENDEKATAN GLMM BINOMIAL NEGATIF DALAM MENGANALISIS KASUS KEMATIAN BAYI DI JAWA TIMUR TAHUN 2023

E-Jurnal Matematika
Infant Mortality Rate (IMR) is a critical indicator of the health and welfare of a community, particularly in East Java. This province has a concerning IMR, necessitating greater efforts to meet the Sustainable Development Goals (SDGs) target of 12 ...
YOHANA HERLINA PUTRI, SYASYA QONITA AZIZAH   +1 more
doaj   +1 more source

Spatio‐temporal occupancy models with INLA

Methods in Ecology and Evolution
Modern methods for quantifying, predicting and mapping species distributions have played a crucial part in biodiversity conservation. Occupancy models have become a popular choice for analysing species occurrence data due to their ability to separate out
Jafet Belmont, Sara Martino, Janine Illian, Håvard Rue   +3 more
doaj   +1 more source

Automated Detection of Infectious Disease Outbreaks [PDF]

, 2010
Manitz, Juliane
core   +1 more source