The following pages link to GMRFLib (Q18728):
Displaying 50 items.
- A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data (Q2135343) (← links)
- Preelectoral polls variability: a hierarchical Bayesian model to assess the role of house effects with application to Italian elections (Q2135367) (← links)
- Variational Bayesian approximation of inverse problems using sparse precision matrices (Q2138759) (← links)
- Stochastic analysis of geometrically imperfect thin cylindrical shells using topology-aware uncertainty models (Q2138801) (← links)
- Bayesian multiresolution modeling of georeferenced data: an extension of `LatticeKrig' (Q2143023) (← links)
- Probabilistic forecasts of arctic sea ice thickness (Q2163520) (← links)
- On hierarchical Bayesian spatial small area model for binary data under spatial misalignment (Q2172523) (← links)
- Multi-scale shotgun stochastic search for large spatial datasets (Q2178160) (← links)
- A scalable Bayesian nonparametric model for large spatio-temporal data (Q2184402) (← links)
- Fixed-domain asymptotic properties of maximum composite likelihood estimators for Gaussian processes (Q2189098) (← links)
- Posterior inference for sparse hierarchical non-stationary models (Q2189583) (← links)
- Compression of climate simulations with a nonstationary global spatiotemporal SPDE model (Q2194444) (← links)
- Inference and computation with generalized additive models and their extensions (Q2195738) (← links)
- Multi-scale process modelling and distributed computation for spatial data (Q2209724) (← links)
- Localization for MCMC: sampling high-dimensional posterior distributions with local structure (Q2214525) (← links)
- An additive approximation to multiplicative noise (Q2217386) (← links)
- LGM split sampler: an efficient MCMC sampling scheme for latent Gaussian models (Q2218042) (← links)
- Approximate Bayesian inference for mixture cure models (Q2220802) (← links)
- Infinite mixtures of infinite factor analysers (Q2226717) (← links)
- Linking physics and spatial statistics: a new family of Boltzmann-Gibbs random fields (Q2233567) (← links)
- Combining heterogeneous spatial datasets with process-based spatial fusion models: a unifying framework (Q2242020) (← links)
- Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects (Q2242039) (← links)
- Estimating high-resolution red sea surface temperature hotspots, using a low-rank semiparametric spatial model (Q2245130) (← links)
- A multivariate spatiotemporal change-point model of opioid overdose deaths in Ohio (Q2247478) (← links)
- Parametric estimation for Gaussian fields indexed by graphs (Q2249584) (← links)
- Spatio-temporal modelling of extreme storms (Q2258573) (← links)
- Spatial hierarchical modeling of precipitation extremes from a regional climate model (Q2260169) (← links)
- Multivariate spatial analysis of climate change projections (Q2261047) (← links)
- A spliced gamma-generalized Pareto model for short-term extreme wind speed probabilistic forecasting (Q2273005) (← links)
- GPU-accelerated simulation of massive spatial data based on the modified planar rotator model (Q2284097) (← links)
- A note on discrete multivariate Markov random field models (Q2288746) (← links)
- Approximation and sampling of multivariate probability distributions in the tensor train decomposition (Q2302512) (← links)
- A random field model for anisotropic strain energy functions and its application for uncertainty quantification in vascular mechanics (Q2310876) (← links)
- Alleviating spatial confounding for areal data problems by displacing the geographical centroids (Q2316977) (← links)
- Risks of classification of the Gaussian Markov random field observations (Q2317180) (← links)
- Spectral parameterization for linear mixed models applied to confounding of fixed effects by random effects (Q2317269) (← links)
- Generating annual fire risk maps using Bayesian hierarchical models (Q2320924) (← links)
- Approximate large-scale Bayesian spatial modeling with application to quantitative magnetic resonance imaging (Q2324328) (← links)
- netprioR: a probabilistic model for integrative hit prioritisation of genetic screens (Q2324975) (← links)
- Asymptotic equivalence of fixed-size and varying-size determinantal point processes (Q2325385) (← links)
- Selecting the tuning parameter in penalized Gaussian graphical models (Q2329783) (← links)
- An approximate fractional Gaussian noise model with \(\mathcal{O}(n)\) computational cost (Q2329801) (← links)
- Stability and uniqueness properties of Taylor approximations of matrix functions (Q2332383) (← links)
- Dealing with boundary artifacts in MCMC-based deconvolution (Q2341896) (← links)
- Prospective space-time surveillance with cumulative surfaces for geographical identification of the emerging cluster (Q2354738) (← links)
- A segmentation approach for stochastic geological modeling using hidden Markov random fields (Q2360990) (← links)
- Bayesian reference analysis for Gaussian Markov random fields (Q2370528) (← links)
- Goodness-of-fit tests for high-dimensional Gaussian linear models (Q2380086) (← links)
- Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields (Q2391469) (← links)
- Objective Bayesian analysis for CAR models (Q2393157) (← links)
