Results 81 to 90 of about 3,106 (192)

Modelling and Inference for Bayesian Bivariate Animal Models using Integrated Nested Laplace Approximations [PDF]

, 2014
In this study we focus on performing inference on bivariate animal models using Integrated Nested Laplace Approximation (INLA). INLA is a methodology for making fast non-sampling based Bayesian inference for hierarchical Gaussian Markov models.
Bøhn, Eirik Dybvik
core   +3 more sources

Trend of malaria parasites infection in Ethiopia along an international border: a Bayesian spatio-temporal study

Infectious Diseases of Poverty
Background Malaria is a major worldwide health concern that impacts many individuals worldwide. P. falciparum is Africa’s main malaria cause. However, P.
Changkuoth Jock Chol, Denekew Bitew Belay, Haile Mekonnen Fenta, Ding-Geng Chen   +3 more
doaj   +1 more source

A spatial analysis workflow to derive landscape‐scale conservation management information from GPS‐monitored grazing livestock

Ecological Solutions and Evidence, Volume 7, Issue 3, July–September 2026.
This study presents a spatial analysis workflow for using satellite telemetry data to understand livestock movement and habitat selection in conservation grazing contexts, using GPS‐tracked cattle on the Purbeck Heaths National Nature Reserve as a case study.
Tom Major, Antonio Uzal, Ross A. Hill, Anita Diaz   +3 more
wiley   +1 more source

Bayesian Analysis of Measurement Error Models Using Integrated Nested Laplace Approximations

Journal of the Royal Statistical Society Series C: Applied Statistics, 2014
SummaryTo account for measurement error (ME) in explanatory variables, Bayesian approaches provide a flexible framework, as expert knowledge can be incorporated in the prior distributions. Recently, integrated nested Laplace approximations have been proven to be a computationally convenient alternative to sampling approaches for Bayesian inference in ...
Muff, Stefanie, Riebler, Andrea, Held, Leonhard, Rue, Havard, Saner, Philippe   +4 more
openaire   +2 more sources

Approximate Bayesian inference based on INLA algorithm

Statistical Theory and Related Fields
The integrated nested Laplace approximation (INLA) algorithm provides a computationally efficient approach for approximate Bayesian inference, overcoming the limitations of traditional Markov chain Monte Carlo (MCMC) methods.
Pingping Wang, Wei Zhao, Yincai Tang
doaj   +1 more source

PointedSDMs: An R package to help facilitate the construction of integrated species distribution models

Methods in Ecology and Evolution, 2023
Ecological data are being collected at a large scale from a multitude of different sources, each with their own sampling protocols and assumptions. As a result, the integration of disparate datasets is a rapidly growing area in quantitative ecology, and ...
Philip S. Mostert, Robert B. O'Hara
doaj   +1 more source

Multiscale Architecture and Mechanics of the Cell Nucleus: Implications for Disease, Bioengineering and Nanomedicine

Advanced Science, Volume 13, Issue 37, 3 July 2026.
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu, Xin Chen, Qingyang Zhao, Weikang Tan, Lingrui Zhu, Kin Liao, Vincent Chan, Nicolae Goga, Winfred O. Larkotey, Yang Li, Yinghui Shi, Wenya Shu, Lin Wang, Weiqing Wang, Tian Jian Lu, Yulong Han   +15 more
wiley   +1 more source

Estimating the marginal likelihood with Integrated nested Laplace approximation (INLA)

, 2016
The marginal likelihood is a well established model selection criterion in Bayesian statistics. It also allows to efficiently calculate the marginal posterior model probabilities that can be used for Bayesian model averaging of quantities of interest.
Hubin, Aliaksandr, Storvik, Geir
openaire   +2 more sources

How do economic and geospatial factors shape conflict? A Bayesian spatial risk approach to Nigeria

Political Science Research and Methods
Economic and geospatial drivers of conflict are established, yet aggregate analyses often obscure subnational risk patterns. This study develops a high-resolution risk methodology for fragile, resource-rich states by combining spatial econometrics with ...
Juan José Villar-Roldán, Aida Galiano, Juan Manuel Martín-Álvarez   +2 more
doaj   +1 more source

Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia. [PDF]

PLoS ONE, 2018
Risk maps of dengue disease offer to the public health officers a tool to model disease risk in space and time. We analyzed the geographical distribution of relative incidence risk of dengue disease in a high incidence city from Colombia, and its ...
Aritz Adin, Daniel Adyro Martínez-Bello, Antonio López-Quílez, María Dolores Ugarte   +3 more
doaj   +1 more source