Bayesian analysis of measurement error models using integrated nested Laplace approximations

By Stefanie Muff, Andrea Riebler, Leonhard Held, Håvard Rue, P. Saner. 2015

107 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/fee982d917fd5f180473c61a63ba9983dd997858

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Andrea Riebler
2. Daniel P. Simpson
3. Finn Lindgren
4. Håvard Rue
5. Sigrunn Holbek Sørbye
6. J. Illian
7. Thomas Opitz
8. H. Bakka

In Statistics and Probability

1. Andrea Riebler
2. Daniel P. Simpson
3. Finn Lindgren
4. Håvard Rue
5. Sigrunn Holbek Sørbye
6. J. Illian
7. Ludwig Fahrmeir
8. Andreas Brezger

Citations in the corpus

• Bayesian Computing with INLA: A Review (2016, methodology): “…give the ’size’ for the binomial r2 = inla(formula2, data = my.data2, family = c("poisson", "binomial"), Ntrials = c(NAs, rep(m, n))) We refer to Muff et al. (2015) for more details on measurement error models using INLA, and to the specific latent Gaussian models termed mec and meb that are…”