Results 161 to 170 of about 6,671 (202)

A new avenue for Bayesian inference with INLA [PDF]

Computational Statistics and Data Analysis, 2023
Integrated Nested Laplace Approximations (INLA) has been a successful approximate Bayesian inference framework since its proposal by Rue et al. (2009). The increased computational efficiency and accuracy when compared with sampling-based methods for Bayesian inference like MCMC methods, are some contributors to its success. Ongoing research in the INLA
Janet Van Niekerk, Elias Teixeira Krainski, Denis Rustand   +2 more
exaly   +5 more sources

Bayesian computing with INLA: New features [PDF]

Computational Statistics and Data Analysis, 2013
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and also to be a valuable tool in practice via the R-package R-INLA. In this paper we formalize new developments in the R-INLA package and show how these features greatly extend the scope of models ...
Daniel Simpson, Finn Lindgren, Håvard Rue   +2 more
exaly   +8 more sources

Bayesian survival analysis with INLA [PDF]

Statistics in Medicine
This tutorial shows how various Bayesian survival models can be fitted using the integrated nested Laplace approximation in a clear, legible, and comprehensible manner using the INLA and INLAjoint R‐packages. Such models include accelerated failure time, proportional hazards, mixture cure, competing risks, multi‐state, frailty, and joint models of ...
Danilo Alvares, Janet Van Niekerk, Elias Teixeira Krainski   +2 more
exaly   +8 more sources

A primer on disease mapping and ecological regression using $${\texttt{INLA}}$$ [PDF]

Computational Statistics, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leonhard Held, Held Leonhard
exaly   +3 more sources

INLA$$^+$$: approximate Bayesian inference for non-sparse models using HPC [PDF]

Statistics and Computing
The integrated nested Laplace approximations (INLA) method has become a widely utilized tool for researchers and practitioners seeking to perform approximate Bayesian inference across various fields of application.
Janet Van Niekerk, Håvard Rue, Esmail Abdul Fattah   +2 more
exaly   +2 more sources

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Case studies in Bayesian computation using INLA

2010
Latent Gaussian models are a common construct in statistical applications where a latent Gaussian field, indirectly observed through data, is used to model, for instance, time and space dependence or the smooth effect of covariates. Many well-known statistical models, such as smoothing-spline models, space time models, semiparametric regression ...
Sara Martino, Håvard Rue
openaire   +1 more source

Anomalous Dispersion of LO Phonons inLa.1.85Sr0.15CuO4

Journal of Low Temperature Physics, 1999
The dispersion of the highest energy LO phonon branch in La. 1.85 Sr 0.15 CuO 4 in the (100) direction has been reinvestigated by high resolution inelastic neutron scattering. In contrast to what has been recently reported by McQueeney et al. (Phys.
Lothar Pintschovius, Markus Braden
openaire   +1 more source

A Review of INLA

2022
Nalini Ravishanker, Balaji Raman, Refik Soyer   +2 more
openaire   +1 more source

INLA and R-INLA

2021
openaire   +1 more source

Anti-InlA single-domain antibodies that inhibit the cell invasion of Listeria monocytogenes

Journal of Biological Chemistry, 2023
Satoru Nagatoishi, Tsukushi Yamawaki, Takashi Nozawa   +2 more
exaly