Alexandra M. SchmidtMcGill University Montreal CanadaWidemberg S. NobreUniversidade Federal do Rio de Janeiro Rio de Janeiro BrazilAmerican Cancer SocietySchmidt, A. M. and Nobre, W. S. (2014), "Conditional Autoregressive (CAR) Model," Wiley StatsRef: Statistics Reference Online, 1-11....
Conditional autoregressive (CAR) models are popular as prior distributions for spatial random effects with areal spatial data. If we have a random quantity $\phi = (\phi_1, \phi_2, ..., \phi_n)'$ at $n$ areal locations, the CAR model is often expressed via full conditional ...
autoregressivespatialconditionalmodelsharedneighbor AsharedneighborconditionalautoregressivemodelforsmallareaspatialdataA.B.Lawsona,C.Rotejanapraserta*,P.MoragabandJ.ChoicTheuseofconditionalautoregressive(CAR)modelsforspatialeffectsiscommonplace,especiallywhendealingwithaggregatedcountdatainhealthstudies.CARmodelsareconveni...
Engle (1982) introduced the ARCH (autoregressive conditional heteroskedasticity) model as a way to parameterize the time varying conditional variances of economic time series. Scarcity, resource price uncertainty, and economic growth (3.) The Autoregressive Conditional Heteroskedasticity methodology, presented...
Markov Chain Monte Carlo - Based Approaches for Modeling the Spatial Survival with Conditional Autoregressive (CAR) Frailty P., 2010, Markov Chain Monte Carlo - Based Approaches for Modeling the Spatial Survival with Conditional Autoregressive (CAR) Frailty. International Journal ... Nur,Iriawanl,Sud...
Novel periodic extensions of dynamic long-memory regression models with autoregressive conditional heteroscedastic errors are considered for the analysis o... SJ Koopman,M Ooms,MA Carnero - 《Publications of the American Statistical Association》 被引量: 366发表: 2007年 Modelling price and volatility ...
Diffusion models Typical deep generative models include autoregressive models (AR), normalizing flows (NF), variational autoen- coders (VAE), GANs, diffusion models, etc. Over the past decade, GANs have gained prominence as a pivotal technol- ogy in the challeng...
Here, we describe an approach to modeling variation in the d N ∕ d S by using a conditional autoregressive (CAR) model. The CAR model relaxes the assumption in most contemporary phylogenetic models, i.e., sites in molecular sequences evolve independently. By incorporating the information ...
Conditional autoregressive (CAR) models are commonly used to capture spatial\ncorrelation in areal unit data, and are typically specified as a prior\ndistribution for a set of random effects, as part of a hierarchical Bayesian\nmodel. The spatial correlation structure induced by these models is ...
In this article, we propose a Bayesian hierarchical linear mixed model to cancer data with geographical characteristics. The spatial effects are captured via a conditional autoregressive (CAR) model. The survival model is introduced to analyze the survival pattern of colorectal cancer based on ...