The following pages link to (Q3190363):
Displaying 50 items.
- Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming (Q91882) (← links)
- A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields (Q148999) (← links)
- Capturing multivariate spatial dependence: model, estimate and then predict (Q254433) (← links)
- A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data (Q312903) (← links)
- Spatial product partition models (Q516459) (← links)
- Recent developments in complex and spatially correlated functional data (Q783297) (← links)
- Multivariate dynamic model for ordinal outcomes (Q943610) (← links)
- Small area estimation of proportions with constraint for National Resources Inventory survey (Q1618199) (← 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)
- 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)
- 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)
- A Bayesian nonparametric spiked process prior for dynamic model selection (Q1738153) (← 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)
- Mitigating bias in generalized linear mixed models: the case for Bayesian nonparametrics (Q1790317) (← links)
- A review of nonparametric hypothesis tests of isotropy properties in spatial data (Q1790343) (← links)
- Spatiotemporal probabilistic wind vector forecasting over Saudi Arabia (Q2044259) (← 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)
- Incorporating spatial structure into inclusion probabilities for Bayesian variable selection in generalized linear models with the spike-and-slab elastic net (Q2059435) (← links)
- A shared spatial model for multivariate extreme-valued binary data with non-random missingness (Q2061742) (← links)
- Bayesian spatial modeling for housing data in South Africa (Q2061773) (← links)
- A comparison of Bayesian accelerated failure time models with spatially varying coefficients (Q2061780) (← links)
- A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes (Q2080349) (← links)
- Mapping interstellar dust with Gaussian processes (Q2080783) (← links)
- A spatial randomness test based on the box-counting dimension (Q2081048) (← links)
- MSPOCK: alleviating spatial confounding in multivariate disease mapping models (Q2084438) (← links)
- Modeling obesity rate with spatial auto-correlation: a case study (Q2088540) (← links)
- The SPDE approach to Matérn fields: graph representations (Q2092895) (← links)
- Spatial modeling of day-within-year temperature time series: an examination of daily maximum temperatures in Aragón, Spain (Q2102967) (← links)
- A spatial modeling framework for monitoring surveys with different sampling protocols with a case study for bird abundance in Mid-Scandinavia (Q2102978) (← links)
- Bayesian finite-population inference with spatially correlated measurements (Q2103271) (← links)
- Bayesian nonparametric multivariate spatial mixture mixed effects models with application to American Community Survey special tabulations (Q2135345) (← links)
- Multivariate mixed membership modeling: inferring domain-specific risk profiles (Q2135361) (← links)
- Bayesian hierarchical modeling: application towards production results in the Eagle Ford Shale of South Texas (Q2135585) (← links)
- A Bayesian approach to disease clustering using restricted Chinese restaurant processes (Q2180068) (← links)
- A nonstationary spatial covariance model for processes driven by point sources (Q2209876) (← links)
- Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data (Q2226688) (← links)
- Network vector autoregression with individual effects (Q2230661) (← links)
- Spatial distributed lag data fusion for estimating ambient air pollution (Q2233175) (← 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)
