Pages that link to "Item:Q2403061"
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The following pages link to Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis (Q2403061):
Displaying 45 items.
- Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes (Q104464) (← links)
- Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation (Q830623) (← links)
- Semiparametric method and theory for continuously indexed spatio-temporal processes (Q2022565) (← links)
- A three-step local smoothing approach for estimating the mean and covariance functions of spatio-temporal data (Q2075448) (← links)
- Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods (Q2080350) (← links)
- A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data (Q2135343) (← links)
- Spatial generalized linear models with non-Gaussian translation processes (Q2163485) (← links)
- Efficient spatio-temporal Gaussian regression via Kalman filtering (Q2188275) (← links)
- Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide (Q2245146) (← links)
- A case study competition among methods for analyzing large spatial data (Q2272997) (← links)
- Spatial disease mapping using directed acyclic graph auto-regressive (DAGAR) models (Q2290712) (← links)
- Towards a complete picture of stationary covariance functions on spheres cross time (Q2316610) (← links)
- A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
- Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments<sup>†</sup> (Q4970245) (← links)
- (Q5054610) (← links)
- Multi-Resolution Filters for Massive Spatio-Temporal Data (Q5066492) (← links)
- Scaled Vecchia Approximation for Fast Computer-Model Emulation (Q5097836) (← links)
- Scalable inference for space‐time Gaussian Cox processes (Q5377195) (← links)
- Estimating Spatial Changes Over Time of Arctic Sea Ice using Hidden 2×2 Tables (Q5377196) (← links)
- Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains (Q5885120) (← links)
- A general framework for Vecchia approximations of Gaussian processes (Q6032766) (← links)
- Spatiotemporal exposure prediction with penalized regression (Q6050901) (← links)
- Discussion of ``Saving storage in climate ensembles: a model-based stochastic approach'' (Q6050910) (← links)
- Scalable spatio‐temporal Bayesian analysis of high‐dimensional electroencephalography data (Q6059494) (← links)
- A framework of zero-inflated Bayesian negative binomial regression models for spatiotemporal data (Q6076575) (← links)
- Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data (Q6079471) (← links)
- Latent multivariate log-gamma models for high-dimensional multitype responses with application to daily fine particulate matter and mortality counts (Q6104100) (← links)
- Random Forests for Spatially Dependent Data (Q6107238) (← links)
- Bayesian hierarchical modeling and analysis for actigraph data from wearable devices (Q6138608) (← links)
- A dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air pollution data (Q6138622) (← links)
- Bayesian modeling of discrete-time point-referenced spatio-temporal data (Q6149602) (← links)
- Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference (Q6172908) (← links)
- Nearest-neighbor mixture models for non-Gaussian spatial processes (Q6203346) (← links)
- BRISC: bootstrap for rapid inference on spatial covariances (Q6541456) (← links)
- Integrated nested Laplace approximations for large-scale spatiotemporal Bayesian modeling (Q6575345) (← links)
- The Matérn model: a journey through statistics, numerical analysis and machine learning (Q6579154) (← links)
- Nearest-neighbor sparse Cholesky matrices in spatial statistics (Q6602373) (← links)
- Fixed-domain asymptotics under Vecchia's approximation of spatial process likelihoods (Q6621340) (← links)
- Permutation and Grouping Methods for Sharpening Gaussian Process Approximations (Q6622448) (← links)
- Sparsity in nonlinear dynamic spatiotemporal models using implied advection (Q6625866) (← links)
- Real-time \(PM_{2.5}\) mapping and anomaly detection from airboxes in Taiwan (Q6626020) (← links)
- Nonseparable covariance models on circles cross time: a study of Mexico City ozone (Q6626087) (← links)
- An additive approximate Gaussian process model for large spatio-temporal data (Q6626104) (← links)
- High-dimensional multivariate geostatistics: a Bayesian matrix-normal approach (Q6626391) (← links)
- Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data (Q6626522) (← links)
