Bayesian Computing with INLA: A Review

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bayesian computing with INLA: New features

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 that can be analyzed by this interface. We al...

متن کامل

Bayesian Spatial Modelling with R-INLA

The principles behind the interface to continuous domain spatial models in the RINLA software package for R are described. The Integrated Nested Laplace Approximation (INLA) approach proposed by Rue, Martino, and Chopin (2009) is a computationally effective alternative to MCMC for Bayesian inference. INLA is designed for latent Gaussian models, a very wide and flexible class of models ranging f...

متن کامل

NORGES TEKNISK - NATURVITENSKAPELIGE UNIVERSITET Bayesian computing with INLA : new features by Thiago

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 that can be analyzed by this interface. We al...

متن کامل

A BAYESIAN APPROACH TO COMPUTING MISSING REGRESSOR VALUES

In this article, Lindley's measure of average information is used to measure the information contained in incomplete observations on the vector of unknown regression coefficients [9]. This measure of information may be used to compute the missing regressor values.

متن کامل

Computing with Bayesian Multi-networks Computing with Bayesian Multi-networks

Existing probabilistic approaches to automated reasoning impose severe restrictions on its knowledge representation scheme. Mainly, this is to ensure that there exists an eeective inferencing algorithm. Unfortunately , this makes the application of these approaches to general domains quite diicult. In this paper, we present a new model called Bayesian multi-networks which uses a rule-based orga...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Annual Review of Statistics and Its Application

سال: 2017

ISSN: 2326-8298,2326-831X

DOI: 10.1146/annurev-statistics-060116-054045