The following pages link to spBayes (Q22128):
Displaying 50 items.
- A Bayesian linear model for the high-dimensional inverse problem of seismic tomography (Q2443172) (← links)
- Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion (Q2445617) (← links)
- A clipped latent variable model for spatially correlated ordered categorical data (Q2445652) (← links)
- Asymptotic theory of cepstral random fields (Q2448723) (← links)
- Measures of Bayesian learning and identifiability in hierarchical models (Q2499093) (← links)
- A primer on disease mapping and ecological regression using \({\mathtt{INLA}}\) (Q2513344) (← links)
- Applying Dynkin's isomorphism: an alternative approach to understand the Markov property of the de Wijs process (Q2515499) (← links)
- Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data (Q2666061) (← links)
- Multivariate functional data modeling with time-varying clustering (Q2666063) (← links)
- Batch size selection for variance estimators in MCMC (Q2671217) (← links)
- Estimating shape constrained functions using Gaussian processes (Q2801322) (← links)
- A Bayesian model for quantifying the change in mortality associated with future ozone exposures under climate change (Q2805223) (← links)
- Spatial mixture multiscale modeling for aggregated health data (Q2829463) (← links)
- Bridging conditional and marginal inference for spatially referenced binary data (Q2846469) (← links)
- Objective Bayesian analysis of spatial models with separable correlation functions (Q2851581) (← links)
- Objective Bayesian analysis of spatial data with uncertain nugget and range parameters (Q2856543) (← links)
- An Integrative Bayesian Modeling Approach to Imaging Genetics (Q2861801) (← links)
- Small area estimation for semicontinuous skewed spatial data: an application to the grape wine production in Tuscany (Q2874299) (← links)
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations (with discussion) (Q2920273) (← links)
- Likelihood Inference for Spatial Generalized Linear Mixed Models (Q2943787) (← links)
- A Hierarchical Bayesian Model for Spatial Prediction of Multivariate Non-Gaussian Random Fields (Q3008861) (← links)
- (Q3009624) (← links)
- Spatially Dependent Polya Tree Modeling for Survival Data (Q3013969) (← links)
- Modeling Complex Phenotypes: Generalized Linear Models Using Spectrogram Predictors of Animal Communication Signals (Q3064287) (← links)
- Association Tests for a Censored Quantitative Trait and Candidate Genes in Structured Populations with Multilevel Genetic Relatedness (Q3064289) (← links)
- Multiscale Adaptive Regression Models for Neuroimaging Data (Q3100685) (← links)
- Dynamic Multiscale Spatiotemporal Models for Gaussian Areal Data (Q3107198) (← links)
- An Efficient Surrogate Model for Emulation and Physics Extraction of Large Eddy Simulations (Q3121166) (← links)
- (Q3172420) (← links)
- Fast Sampling in a Linear-Gaussian Inverse Problem (Q3179326) (← links)
- Estimating spatial covariance using penalised likelihood with weighted<i>L</i><sub>1</sub>penalty (Q3182743) (← links)
- (Q3190363) (← links)
- Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty (Q3304834) (← links)
- Specifying a Gaussian Markov Random Field by a Sparse Cholesky Triangle (Q3378032) (← links)
- Generalized Hierarchical Multivariate CAR Models for Areal Data (Q3379249) (← links)
- Spatial survival modelling of business re-opening after Katrina: Survival modelling compared to spatial probit modelling of re-opening within 3, 6 or 12 months (Q3389297) (← links)
- A Computationally Efficient Projection-Based Approach for Spatial Generalized Linear Mixed Models (Q3391151) (← links)
- Dynamically Updated Spatially Varying Parameterizations of Hierarchical Bayesian Models for Spatial Data (Q3391187) (← links)
- A Spatial Markov Model for Climate Extremes (Q3391188) (← links)
- A Semiparametric Bayesian Approach to Dropout in Longitudinal Studies With Auxiliary Covariates (Q3391439) (← links)
- Conservative prior distributions for variance parameters in hierarchical models (Q3417680) (← links)
- Coregionalized Single- and Multiresolution Spatially Varying Growth Curve Modeling with Application to Weed Growth (Q3436535) (← links)
- Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise (Q3454486) (← links)
- Spatial extended hazard model with application to prostate cancer survival (Q3459927) (← links)
- A Bayesian nonparametric model for spatially distributed multivariate binary data with application to a multidrug‐resistant tuberculosis (MDR‐TB) study (Q3465380) (← links)
- Banerjee, S.Carlin, B. P., and Gelfand, A. E.Hierarchical Modeling and Analysis for Spatial Data. Second Edition. CRC Press/Chapman & Hall. Monographs on Statistics and Applied Probability 135, Boca Raton, Florida, 2015. 562 pp. $ 99.95 . ISBN‐13: 9 (Q3465758) (← links)
- Bayesian spatio-temporal models based on discrete convolutions (Q3526429) (← links)
- Investigating the sensitivity of Gaussian processes to the choice of their correlation function and prior specifications (Q3527731) (← links)
- Assessing a Linear Nanosystem's Limiting Reliability from its Components (Q3535642) (← links)
- Posterior Predictive <i>p</i>‐values in Bayesian Hierarchical Models (Q3552981) (← links)
