Pages that link to "Item:Q4937272"

The following pages link to A dimension-reduced approach to space-time Kalman filtering (Q4937272):

Displaying 50 items.

• Adaptive sampling for Bayesian geospatial models (Q261006) (← links)
• Spatio-temporal statistical analysis of the carbon budget of the terrestrial ecosystem (Q290368) (← links)
• A comparison of spatial predictors when datasets could be very large (Q311779) (← links)
• Latent spatial models and sampling design for landscape genetics (Q312969) (← links)
• Hierarchical Bayesian spatio-temporal Conway-Maxwell Poisson models with dynamic dispersion (Q486047) (← links)
• Ecological prediction with nonlinear multivariate time-frequency functional data models (Q486064) (← links)
• An overview of approaches to the analysis and modelling of multivariate geostatistical data (Q500627) (← links)
• Parallel inference for massive distributed spatial data using low-rank models (Q518241) (← links)
• A general science-based framework for dynamical spatio-temporal models (Q619127) (← links)
• An approach to modeling asymmetric multivariate spatial covariance structures (Q634560) (← links)
• Covariance approximation for large multivariate spatial data sets with an application to multiple climate model errors (Q765994) (← links)
• Krigings over space and time based on latent low-dimensional structures (Q829391) (← links)
• Recent developments on the construction of spatio-temporal covariance models (Q839447) (← links)
• Multifractality in space-time statistical models (Q839448) (← links)
• Estimation of parameterized spatio-temporal dynamic models (Q861225) (← links)
• The analysis of marked point patterns evolving through space and time (Q1010520) (← links)
• Model comparison and selection for stationary space-time models (Q1020121) (← links)
• Kalman filtering from POP-based diagonalization of ARH(1) (Q1020165) (← links)
• The kriged Kalman filter. (With discussion) (Q1305249) (← links)
• Modeling and prediction of environmental data in space and time using Kalman filtering (Q1395389) (← links)
• Kalman filtering of a space-time Markov random field (Q1411000) (← links)
• On-line spatio-temporal prediction by a state space representation of the generalised space time autoregressive model (Q1606006) (← links)
• Flexible integro-difference equation modeling for spatio-temporal data (Q1658447) (← links)
• Bayesian non-parametric modeling for integro-difference equations (Q1702285) (← links)
• Spatio-temporal analysis with short- and long-memory dependence: a state-space approach (Q1708368) (← links)
• Emulator-assisted reduced-rank ecological data assimilation for nonlinear multivariate dynamical spatio-temporal processes (Q1731188) (← links)
• Multi-spectral decomposition of functional autoregressive models (Q1741079) (← links)
• Dynamic models for space-time prediction via Karhunen-Loève expansion (Q1766992) (← links)
• Conditional simulation in dynamic linear models for spatial and temporal predictions of diffusive phenomena (Q1767014) (← links)
• A dynamic nonstationary spatio-temporal model for short term prediction of precipitation (Q1939996) (← links)
• Variational Bayesian methods for spatial data analysis (Q1942900) (← links)
• Multi-scale Vecchia approximations of Gaussian processes (Q2102959) (← links)
• Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering (Q2114043) (← links)
• Predicting spatio-temporal time series using dimension reduced local states (Q2179862) (← links)
• Efficient spatio-temporal Gaussian regression via Kalman filtering (Q2188275) (← links)
• Estimating high-resolution red sea surface temperature hotspots, using a low-rank semiparametric spatial model (Q2245130) (← links)
• Gaussian processes on the support of cylindrical surfaces, with application to periodic spatio-temporal data (Q2250694) (← links)
• Improving crop model inference through Bayesian melding with spatially varying parameters (Q2261034) (← links)
• A Kalman filter method for estimation and prediction of space-time data with an autoregressive structure (Q2317322) (← links)
• Spatiotemporal filtering from fractal spatial functional data sequence (Q2319562) (← links)
• A reparametrization approach for dynamic space-time models (Q2324055) (← links)
• Spatiotemporal point processes: regression, model specifications and future directions (Q2330482) (← links)
• Entropy-based correlated shrinkage of spatial random processes (Q2333335) (← links)
• Wavelet-based functional reconstruction and extrapolation of fractional random fields (Q2387485) (← links)
• Spatially varying dynamic coefficient models (Q2474388) (← links)
• Modeling Complex Phenotypes: Generalized Linear Models Using Spectrogram Predictors of Animal Communication Signals (Q3064287) (← links)
• Modeling Tangential Vector Fields on a Sphere (Q3121556) (← links)
• Stationary space-time Gaussian fields and their time autoregressive representation (Q3153694) (← links)
• Hierarchical Low Rank Approximation of Likelihoods for Large Spatial Datasets (Q3391136) (← links)
• A kernel-based spectral model for non-Gaussian spatio-temporal processes (Q3427637) (← links)