The following pages link to (Q3190363):
Displaying 50 items.
- Spatial modeling of trends in crime over time in Philadelphia (Q2291513) (← links)
- Regression analysis for multivariate process data of counts using convolved Gaussian processes (Q2301076) (← links)
- Towards a complete picture of stationary covariance functions on spheres cross time (Q2316610) (← links)
- Bayesian zero-inflated negative binomial regression based on Pólya-gamma mixtures (Q2316986) (← links)
- Modeling binary time series using Gaussian processes with application to predicting sleep states (Q2317187) (← links)
- Complete spatial model calibration (Q2318654) (← links)
- A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
- Randomized algorithms of maximum likelihood estimation with spatial autoregressive models for large-scale networks (Q2329831) (← links)
- Bayesian methods for estimating animal abundance at large spatial scales using data from multiple sources (Q2363972) (← links)
- A note on compatibility of conditional autoregressive models (Q2407758) (← links)
- Some recent work on multivariate Gaussian Markov random fields (Q2414872) (← links)
- Multivariate bioclimatic indices modelling: a coregionalised approach (Q2419840) (← links)
- Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data (Q2666061) (← links)
- Bayesian Spatial Survival Models (Q2800198) (← links)
- Spatial Species Sampling and Product Partition Models (Q2800205) (← links)
- Spatial Boundary Detection for Areal Counts (Q2800207) (← links)
- A Spatial Markov Model for Climate Extremes (Q3391188) (← links)
- Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise (Q3454486) (← links)
- (Q4558471) (← links)
- Spatial Autoregressive Conditional Heteroskedasticity Models (Q4578224) (← links)
- (Q4606115) (← links)
- Multivariate modelling of spatial extremes based on copulas (Q4960693) (← links)
- Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments<sup>†</sup> (Q4970245) (← links)
- (Q4998918) (← links)
- Spatial Bayesian modeling of GLCM with application to malignant lesion characterization (Q5036500) (← links)
- Modeling material stress using integrated Gaussian Markov random fields (Q5037092) (← links)
- Sampling Strategies for Fast Updating of Gaussian Markov Random Fields (Q5055469) (← links)
- An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model (Q5066475) (← links)
- SPATIO-TEMPORAL MODELLING FOR NONSTATIONARY POINT REFERENCED DATA (Q5076501) (← links)
- CircSpaceTime: an R package for spatial and spatio-temporal modelling of circular data (Q5107778) (← links)
- Complexity in applying spatial analysis to describe heterogeneous air-trapping in thoracic imaging data (Q5138651) (← links)
- Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family (Q5146051) (← links)
- Bayesian analysis of spatial data using different variance and neighbourhood structures (Q5222356) (← links)
- Book Reviews (Q5367490) (← links)
- Semiparametric Bayesian analysis of high-dimensional censored outcome data (Q5880179) (← links)
- Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging (Q5885075) (← links)
- A general framework for Vecchia approximations of Gaussian processes (Q6032766) (← links)
- Bayesian latent variable co-kriging model in remote sensing for quality flagged observations (Q6050918) (← links)
- A shared latent process model to correct for preferential sampling in disease surveillance systems (Q6050931) (← links)
- Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin (Q6055670) (← links)
- Small Area Estimation for Disease Prevalence Mapping (Q6064364) (← links)
- Bayesian regularization for flexible baseline hazard functions in Cox survival models (Q6088904) (← links)
- Latent multivariate log-gamma models for high-dimensional multitype responses with application to daily fine particulate matter and mortality counts (Q6104100) (← links)
- Distributed Bayesian inference in massive spatial data (Q6111472) (← links)
- A skew-normal spatial simultaneous autoregressive model and its implementation (Q6133721) (← links)
- Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima-Peru (Q6136278) (← links)
- Data-driven chimney fire risk prediction using machine learning and point process tools (Q6138624) (← links)
- Dynamic spatio-temporal zero-inflated Poisson models for predicting capelin distribution in the Barents Sea (Q6176217) (← links)
- Forecasting the housing vacancy rate in Japan using dynamic spatiotemporal effects models (Q6176220) (← links)
- A Bayesian hierarchical model framework to quantify uncertainty of tropical cyclone precipitation forecasts (Q6179105) (← links)
