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 quantityϕ=(ϕ1,ϕ2,...,ϕn)′atnareal locations, the CAR model is often expressed via full conditional distributions: ...
information, we introduce a different approach whereby shared neighboring areas are incorporated in the new formulation of a CAR model, the shared neighbor conditional autoregressive (SCAR) model. Specifically, the ICAR specification only allows short-range correlation, and ...
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 challengi...
Real-time crash risk forecasting using Artificial-Intelligence based video analytics: A unified framework of generalised extreme value theory and autoregressive integrated moving average model Analytic methods in accident research, 40 (2023), Article 100302 View PDFView articleView in ScopusGoogle Scholar ...
Relative to prior state-of-the-art GAN-based models, our proposedmodel, ChunkedAutoregressiveGAN(CARGAN)reducespitcherrorby40-60%,reduces training time by 58%, maintains a fast generation speed suitable for real-time or interactive applications, and maintains or improves subjective quality.1 I ...
The weight tensor Aˆ holds the autoregressive relation between the past n frames and the current frame at the visible layer vˆ0. The Interpolating CRBM (ICRBM) [37], a CRBM extension, was used for phoneme classification in speech recognition. The ICRBM outperformed the CRBM as it ...
This paper discusses a variety of conditional autoregressive (CAR) models for mapping disease rates, beyond the usual first-order intrinsic CAR model. We illustrate the utility and scope of such models for handling different types of data structures. To encourage their routine use for map ...
The Bayesian CAR method is proved to be a useful tool for disease modeling of tuberculosis.KEYWORDS: CAR model, Disease mapping, Autoregressive, MCMC, Spatial model.Venkatesan, PSrinivasan, RDharuman, CVenkatesan P, Srinivasan R, Dharuman C (2012). Bayesian Conditional Auto Regressive ...
COVID-19's spatiotemporal properties were investigated utilizing Conditional Autoregressive Model (CAR) and hotspot. The spatial autocorrelation results of the incidence rate were acquired prior to the application of hotspots analysis. After that, hotspot analysis indices were used to precisely find high...