The following pages link to spBayes (Q22128):
Displaying 50 items.
- Practically applicable central limit theorem for spatial statistics (Q1035762) (← links)
- Effective sample size for spatial regression models (Q1616305) (← links)
- Weighted batch means estimators in Markov chain Monte Carlo (Q1616318) (← links)
- Joint temporal point pattern models for proximate species occurrence in a fixed area using camera trap data (Q1618093) (← links)
- Small area estimation of proportions with constraint for National Resources Inventory survey (Q1618199) (← links)
- A practical approach for assessing the effect of grouping in hierarchical spatio-temporal models (Q1621224) (← links)
- Spatio-temporal modeling of particulate matter concentration through the SPDE approach (Q1621226) (← links)
- Bayesian space-time modeling of malaria incidence in Sucre state, Venezuela: spatial special issue (Q1621233) (← links)
- Multivariate geostatistical mapping of radioactive contamination in the Maddalena Archipelago (Sardinia, Italy): spatial special issue (Q1621240) (← links)
- Gaussian pseudo-likelihood estimation for stationary processes on a lattice (Q1621658) (← links)
- Bayesian semiparametric model for spatially correlated interval-censored survival data (Q1623462) (← links)
- A spatially varying stochastic differential equation model for animal movement (Q1624853) (← links)
- Bayesian spatiotemporal modeling using hierarchical spatial priors, with applications to functional magnetic resonance imaging (with discussion) (Q1631610) (← links)
- A spatio-temporal modeling framework for weather radar image data in tropical southeast Asia (Q1647622) (← links)
- Fitting large-scale structured additive regression models using Krylov subspace methods (Q1658522) (← links)
- Data augmentation and parameter expansion for independent or spatially correlated ordinal data (Q1663196) (← links)
- Nonparametric Bayesian inference in applications (Q1663603) (← links)
- Discussion of paper ``Nonparametric Bayesian inference in applications'' by Peter Müller, Fernando A. Quintana and Garritt L. Page (Q1663605) (← links)
- Bayesian calibration of blue crab (\textit{callinectes sapidus}) abundance indices based on probability surveys (Q1695259) (← links)
- Dynamic model-based clustering for spatio-temporal data (Q1702014) (← links)
- A comparison of centring parameterisations of Gaussian process-based models for Bayesian computation using MCMC (Q1703834) (← links)
- Bayesian dynamic linear models for estimation of phenological events from remote sensing data (Q1722620) (← links)
- Multivariate spatial meta kriging (Q1726740) (← links)
- Bayesian pollution source identification via an inverse physics model (Q1727923) (← links)
- A spatial hierarchical model for abundance of three ice-associated seal species in the eastern Bering Sea (Q1731172) (← links)
- Bayesian optimal sequential design for nonparametric regression via inhomogeneous evolutionary MCMC (Q1731202) (← links)
- A Bayesian nonparametric spiked process prior for dynamic model selection (Q1738153) (← links)
- Flexible linear mixed models with improper priors for longitudinal and survival data (Q1746532) (← links)
- Bayesian spectral modeling for multivariate spatial distributions of elemental concentrations in soil (Q1752000) (← links)
- Objective Bayesian analysis for Gaussian hierarchical models with intrinsic conditional autoregressive priors (Q1757670) (← links)
- A Bayesian spatio-temporal model for precipitation extremes -- STOR team contribution to the EVA2017 challenge (Q1792629) (← links)
- INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles (Q1792632) (← links)
- Inference for variograms (Q1800113) (← links)
- Parallel multivariate slice sampling (Q1927292) (← links)
- A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) (Q1939998) (← links)
- Composite Gaussian process models for emulating expensive functions (Q1940022) (← links)
- Variational Bayesian methods for spatial data analysis (Q1942900) (← links)
- Modeling temporal gradients in regionally aggregated California asthma hospitalization data (Q1951524) (← links)
- Spatio-temporal change of support modeling with \texttt{R} (Q1995874) (← links)
- Markov chain random fields in the perspective of spatial Bayesian networks and optimal neighborhoods for simulation of categorical fields (Q2009839) (← links)
- Assessing the risk of disruption of wind turbine operations in Saudi Arabia using Bayesian spatial extremes (Q2028587) (← links)
- Spatiotemporal probabilistic wind vector forecasting over Saudi Arabia (Q2044259) (← links)
- Propriety of the reference posterior distribution in Gaussian process modeling (Q2054503) (← links)
- Max-and-smooth: a two-step approach for approximate Bayesian inference in latent Gaussian models (Q2057335) (← links)
- Intuitive joint priors for variance parameters (Q2057345) (← links)
- Nested adaptation of MCMC algorithms (Q2057363) (← links)
- Nonparametric spectral methods for multivariate spatial and spatial-temporal data (Q2057833) (← links)
- From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas (Q2062763) (← links)
- Optimal Bayesian smoothing of functional observations over a large graph (Q2078537) (← links)
- Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation (Q2078752) (← links)
