Skip to main content

Questions tagged [inla]

Integrated Nested Laplace Approximation

Filter by
Sorted by
Tagged with
0 votes
0 answers
43 views

How can I fit a model with a random intercept and slope using INLA?

I'm attempting to replicate the form of a negative-binomial GLMM that I used to run via glmmTMB::glmmTMB() using INLA::inla(). ...
jack_bioinf's user avatar
0 votes
0 answers
14 views

Multivariate mixture models with INLA: Relating CAR random effect to the MVN covariance matrix

For a research project I am trying to implement a multivariate mixture model on areal data using Integrated Nested Laplace Approximation (INLA). Let $y_{i,d}$ be a data point, where $i = 1, 2, \cdots, ...
BasMts's user avatar
  • 23
1 vote
0 answers
138 views

How to account for spatial autocorrelation when the outcome (distance cycled) is continuous?

I aim to predict distance cycled based on population density, recreational area density, infrastructure density, road intersection density, and average gradient (hilliness). The response variable, ...
Eugeni's user avatar
  • 21
2 votes
0 answers
314 views

Zero-inflated Poisson - Implementing INLA with two likelihoods

I am trying to implement a zero inflated model in INLA. I know a basic zero inflated Poisson can be implemented with "zeroinflatedpoisson1" as the family ...
SushiChef's user avatar
  • 121
1 vote
0 answers
77 views

R-INLA results: Why does the mean for my fixed effects equal the median?

I am building a Besag-York-Mollie model using a Poisson distribution to estimate the relative risk of infection for neighborhoods in California using R-INLA. I have areal data and my model is as ...
BeeLM's user avatar
  • 11
2 votes
0 answers
132 views

Is the term “latent effect” in statistics has the same meaning as “latent variable”?

Is the term “latent effect” in statistics has the same meaning as “latent variable”? If not, then what would be its substantive interpretation? UPDATE: There is a whole class of models called “Latent ...
Rustam's user avatar
  • 73
4 votes
1 answer
926 views

How to interpret the standard deviation of the slope random effect in a multilevel model

How do you interpret the standard deviation of the slope random effect in multilevel models? Suppose I want to show how Urbanization percentage changed across time in Western and Eastern Europe, so it ...
Rustam's user avatar
  • 73
1 vote
1 answer
79 views

Zero and One tricks for INLA?

The Zero and One tricks are used to sample from a model not included in the basic functions in BUGS: http://www.medicine.mcgill.ca/epidemiology/Joseph/courses/common/Tricks.html I have a general and ...
not that INLA's user avatar
1 vote
1 answer
151 views

What means that the model is "singular"?

My question might be rather basic, theoretical. I am running spatial and spatial-temporal bayesian models in INLA. I have areal data and a continuous response variable with spatial and temporal ...
marina_esp's user avatar
0 votes
0 answers
345 views

INLA model with spatial autocorrelation - binary response, binomial predictor

I have a binary response variable (0/1) and a predictor distributed continuously on 0-1 scale. There is significant spatial autocorrelation in data, thus I am running an INLA model to account for that....
MIH's user avatar
  • 205
2 votes
1 answer
367 views

How to model spatial data using SPDE and finite element method

Suppose we want to model a stochastic process using Gaussian processes. We have data on $z$ (dependent variable) at some spatial points $(x_{i},y_{i})$. If our dataset is large then calculating the ...
Amin Shn's user avatar
  • 755
0 votes
0 answers
468 views

Variable selection in Bayesian hierarchical models with R-INLA

I'm working with Bayesian hierarchichal regressions fitted with R-INLA. I would like to simplify my model by reducing the number of covariates. According to my understanding, Bayesian variable ...
antarctica's user avatar
1 vote
0 answers
92 views

How to validate or make predictions from a spatial Cox PH survival model built with R-INLA?

I'm trying to model deforestation as a survival analysis. I have a raster map where unaffected areas are zero and deforested pixels have values 1-20 depending on the year of deforestation (2001-20). I ...
Michael Smith's user avatar
1 vote
0 answers
667 views

INLA Fitting logistic regression using bym or besag smoothing using neighboring spatial points instead of neighboring polygons

Ordinarily, if you want to account for the effect spatial boundaries have on certain variables. You could fit as follows as highlighted in Virgilio Gómez-Rubio's Bayesian inference with INLA article. <...
ccc's user avatar
  • 11
0 votes
0 answers
228 views

Model comparison: WAIC value is large between nested random effect models

I have computed two models using INLA and following the proceedure laid out in this paper. As in the paper, the model has two random effects, one representing temporal relationships between data ...
SamPassmore's user avatar
0 votes
1 answer
678 views

How to combine complex surveys from different populations?

I have 4 national representative surveys (DHS) and let us assume one survey belong to one country (e.g. Lesotho, Namibia, South Africa, and Zimbabwe). The sampling method used in these surveys is ...
Esteban M. Correa's user avatar
0 votes
1 answer
397 views

Neighborhood matrix in spatio-temporal model

I am attempting to create a neighborhood matrix (poly2nb in spdep) in R to use either for a GAM or an INLA. As I have spatio-...
user avatar
1 vote
0 answers
274 views

Bayesian spatial autoregressive (SAR) model with heteroskedasticity in R

In socio-economic data, I always found heteroskedasticity that can't be solved using transformation.I had read a paper "Spatial autoregressive models with unknown heteroskedasticity:A comparison of ...
Fitri Ramadhini's user avatar
4 votes
1 answer
485 views

How can I interpret the estimated random coefficients (e.g. random intercept) in a mixed model?

We know that random effects are estimated as a probability distribution rather than each individual random coefficients. Take the simplest random intercept model as an example: $biomass_{i,j}$ ~ $...
tiantianchen's user avatar
  • 2,111
2 votes
1 answer
198 views

Who invented INLA?

I am trying to do a literature review on integrated nested Laplace approximations (INLA). Most papers cite a popular paper by Rue and Chopin, however, this does not seem to be the seminal paper. Can ...
HeMan's user avatar
  • 21
1 vote
1 answer
1k views

In R and INLA, how do I graph results of 'rw2' model?

I'm working with model 2 of INLA's Zambia example in R: ...
user avatar
4 votes
2 answers
692 views

Is there an R package for MCMC estimation of Generalized Method of Moments?

I'm looking for an R package (or a combination of packages) that would allow me to perform MCMC estimation of a GMM model, with a user-specified moments function. I've looked at the CRAN Bayesian ...
jubo's user avatar
  • 1,072
2 votes
1 answer
1k views

How to specify the unit information prior

Continuing on from this question and this question re BIC and its approximation to the Bayes factor with a unit information prior (Kass & Wasserman, 1995), I'm trying to quantify this relationship ...
Matt Albrecht's user avatar