The following pages link to spBayes (Q22128):
Displaying 50 items.
- Bayesian spatial modeling of data from avian point count surveys (Q2259906) (← links)
- Mountains, valleys, and rivers: the transmission of raccoon rabies over a heterogeneous landscape (Q2259943) (← links)
- Continuous spatial process models for spatial extreme values (Q2260130) (← links)
- Estimating the risk of a crop epidemic from coincident spatio-temporal processes (Q2260143) (← links)
- A spatio-temporal downscaler for output from numerical models (Q2260144) (← links)
- Spatial hierarchical modeling of precipitation extremes from a regional climate model (Q2260169) (← links)
- Spatial regression using kernel averaged predictors (Q2261002) (← links)
- Improving crop model inference through Bayesian melding with spatially varying parameters (Q2261034) (← links)
- Multivariate spatial analysis of climate change projections (Q2261047) (← links)
- Comparing and blending regional climate model predictions for the American Southwest (Q2261049) (← links)
- A case study competition among methods for analyzing large spatial data (Q2272997) (← links)
- Process modeling for slope and aspect with application to elevation data maps (Q2273018) (← links)
- Modelling multilevel spatial behaviour in binary-mark muscle fibre configurations (Q2281184) (← links)
- A unified view on Bayesian varying coefficient models (Q2283580) (← links)
- Spatial disease mapping using directed acyclic graph auto-regressive (DAGAR) models (Q2290712) (← links)
- Spatial modeling of trends in crime over time in Philadelphia (Q2291513) (← links)
- Simultaneous confidence band for stationary covariance function of dense functional data (Q2293548) (← links)
- Regression analysis for multivariate process data of counts using convolved Gaussian processes (Q2301076) (← links)
- Two-mode network autoregressive model for large-scale networks (Q2305985) (← links)
- Estimation of mean squared prediction error of empirically spatial predictor of small area means under a linear mixed model (Q2306248) (← links)
- A framework for data-driven analysis of materials under uncertainty: countering the curse of dimensionality (Q2309861) (← links)
- Bayesian analysis of spatial survival model with non-Gaussian random effect (Q2314515) (← 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)
- A nonparametric Bayesian methodology for regression discontinuity designs (Q2317304) (← links)
- A Kalman filter method for estimation and prediction of space-time data with an autoregressive structure (Q2317322) (← links)
- Complete spatial model calibration (Q2318654) (← links)
- A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
- Generating annual fire risk maps using Bayesian hierarchical models (Q2320924) (← links)
- Explaining return times for wildfires (Q2320926) (← links)
- Bayesian nonstationary Gaussian process models via treed process convolutions (Q2324262) (← links)
- Randomized algorithms of maximum likelihood estimation with spatial autoregressive models for large-scale networks (Q2329831) (← links)
- Wavelet thresholding in fixed design regression for Gaussian random fields (Q2338566) (← links)
- Nonparametric adaptive density estimation on random fields using wavelet method (Q2339576) (← links)
- Comparing and selecting spatial predictors using local criteria (Q2348712) (← links)
- A two-step approach to model precipitation extremes in California based on max-stable and marginal point processes (Q2349588) (← links)
- Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets (Q2361204) (← links)
- Small area estimation with spatio-temporal Fay-Herriot models (Q2361205) (← links)
- Bayesian methods for estimating animal abundance at large spatial scales using data from multiple sources (Q2363972) (← links)
- From sources to biomarkers: A hierarchical Bayesian approach for human exposure modeling (Q2382855) (← links)
- Nonstationary multivariate process modeling through spatially varying coregionalization (Q2387479) (← links)
- Book review of: S. Banerjee et al., Hierarchical modeling and analysis for spatial data. 2nd ed. (Q2399834) (← 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)
- Multiple imputation for sharing precise geographies in public use data (Q2428744) (← links)
- Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models (Q2428748) (← links)
- A new class of flexible link functions with application to species co-occurrence in Cape Floristic region (Q2441856) (← links)
- Modeling US housing prices by spatial dynamic structural equation models (Q2443143) (← links)
