Pages that link to "Item:Q1207612"
From MaRDI portal
The following pages link to Bayesian image restoration, with two applications in spatial statistics (with discussion) (Q1207612):
Displaying 50 items.
- Time-varying Markov regression random-effect model with Bayesian estimation procedures: Application to dynamics of functional recovery in patients with stroke (Q991537) (← links)
- Hierarchical Bayesian modelling of spatial age-dependent mortality (Q1010478) (← links)
- The analysis of marked point patterns evolving through space and time (Q1010520) (← links)
- Bayesian modelling strategies for spatially varying regression coefficients: a multivariate perspective for multiple outcomes (Q1019887) (← links)
- Mixtures of spatial and unstructured effects for spatially discontinuous health outcomes (Q1019953) (← links)
- Medical geography: A promising field of application for geostatistics (Q1025585) (← links)
- Use of the Gibbs sampler in expert systems (Q1193494) (← links)
- Hierarchical Bayes GLMs for the analysis of spatial data: An application to disease mapping (Q1298969) (← links)
- Robust priors for smoothing and image restoration (Q1336537) (← links)
- The use of univariate Bayes regression models for spatial smoothing (Q1391804) (← links)
- On the use of Gibbs priors for Bayesian image restoration (Q1392122) (← links)
- A close look at the spatial structure implied by the CAR and SAR models. (Q1427517) (← links)
- Analysis of space-time relational data with application to legislative voting (Q1615138) (← links)
- Bayesian space-time modeling of malaria incidence in Sucre state, Venezuela: spatial special issue (Q1621233) (← links)
- Extreme value modelling of water-related insurance claims (Q1647607) (← links)
- On the proper treatment of improper distributions (Q1698997) (← links)
- A spatial-temporal ARMA model of the incidence of hand, foot, and mouth disease in Wenzhou, China (Q1722404) (← links)
- Estimation of spatial autoregressive models with measurement error for large data sets (Q1729301) (← links)
- A spatial hierarchical model for abundance of three ice-associated seal species in the eastern Bering Sea (Q1731172) (← links)
- A model for analyzing spatially correlated binary data clustered in uncorrelated lattices (Q1756181) (← links)
- Objective Bayesian analysis for Gaussian hierarchical models with intrinsic conditional autoregressive priors (Q1757670) (← links)
- Selection of the neighborhood structure for space-time Markov random field models (Q1766979) (← links)
- Penalising model component complexity: a principled, practical approach to constructing priors (Q1790379) (← links)
- What is a statistical model? (With comments and rejoinder). (Q1873596) (← links)
- Bayesian geoadditive seemingly unrelated regression (Q1887221) (← links)
- Multivariate spatial regression models (Q1888332) (← links)
- Evaluation of spatial Bayesian models -- two computational methods (Q1918175) (← links)
- Approximate Bayes model selection procedures for Gibbs-Markov random fields (Q1918180) (← links)
- Intuitive joint priors for variance parameters (Q2057345) (← links)
- Improved inference for areal unit count data using graph-based optimisation (Q2058788) (← links)
- Bayesian hierarchical statistical SIRS models (Q2066872) (← links)
- Space-time smoothing models for subnational measles routine immunization coverage estimation with complex survey data (Q2078315) (← links)
- Multilevel time-series models for small area estimation at different frequencies and domain levels (Q2080747) (← links)
- MSPOCK: alleviating spatial confounding in multivariate disease mapping models (Q2084438) (← links)
- Modeling obesity rate with spatial auto-correlation: a case study (Q2088540) (← links)
- Spatio-temporal modelling of dengue fever patterns in peninsular Malaysia from 2015--2017 (Q2089373) (← links)
- Combining assumptions and graphical network into gene expression data analysis (Q2129241) (← links)
- Empirical likelihood for nonparametric regression models with spatial autoregressive errors (Q2131999) (← links)
- On the convenience of heteroscedasticity in highly multivariate disease mapping (Q2177721) (← links)
- Using a weighted quadratic loss function in Bayesian approaches: application to the mapping of health indicators (Q2197356) (← links)
- Combining heterogeneous spatial datasets with process-based spatial fusion models: a unifying framework (Q2242020) (← links)
- Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects (Q2242039) (← links)
- Posterior property in nonparametric mixed effects model (Q2248263) (← links)
- Generalized structured additive regression based on Bayesian P-splines (Q2257593) (← links)
- Spatial stochastic volatility for lattice data (Q2259630) (← links)
- Mountains, valleys, and rivers: the transmission of raccoon rabies over a heterogeneous landscape (Q2259943) (← links)
- Spatial inference of nitrate concentrations in groundwater (Q2260146) (← links)
- A unified view on Bayesian varying coefficient models (Q2283580) (← links)
- Spatial modeling of trends in crime over time in Philadelphia (Q2291513) (← links)
- Modelling regional patterns of inefficiency: a Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales (Q2294457) (← links)