The following pages link to (Q3058567):
Displaying 50 items.
- Flexible integro-difference equation modeling for spatio-temporal data (Q1658447) (← links)
- Computation of the autocovariances for time series with multiple long-range persistencies (Q1659057) (← links)
- Discussion of paper ``Nonparametric Bayesian inference in applications'' by Peter Müller, Fernando A. Quintana and Garritt L. Page (Q1663605) (← links)
- The dimple problem related to space-time modeling under the Lagrangian framework (Q1679567) (← links)
- Hierarchical nonlinear spatio-temporal agent-based models for collective animal movement (Q1680351) (← links)
- Reflected stochastic differential equation models for constrained animal movement (Q1680357) (← links)
- Dynamic model-based clustering for spatio-temporal data (Q1702014) (← links)
- Bayesian non-parametric modeling for integro-difference equations (Q1702285) (← links)
- Spherical process models for global spatial statistics (Q1704699) (← links)
- Spatio-temporal analysis with short- and long-memory dependence: a state-space approach (Q1708368) (← links)
- Bayesian dynamic linear models for estimation of phenological events from remote sensing data (Q1722620) (← links)
- Emulated multivariate global sensitivity analysis for complex computer models applied to agricultural simulators (Q1722636) (← links)
- Multivariate spatial meta kriging (Q1726740) (← links)
- sppmix: Poisson point process modeling using normal mixture models (Q1729311) (← links)
- Emulator-assisted reduced-rank ecological data assimilation for nonlinear multivariate dynamical spatio-temporal processes (Q1731188) (← links)
- Modeling spatially dependent functional data via regression with differential regularization (Q1733289) (← links)
- Two-scale spatial models for binary data (Q1742839) (← links)
- Statistical analysis of complex and spatially dependent data: a review of object oriented spatial statistics (Q1751652) (← links)
- Bayesian spectral modeling for multivariate spatial distributions of elemental concentrations in soil (Q1752000) (← links)
- Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion) (Q1752017) (← links)
- Hot enough for you? a spatial exploratory and inferential analysis of North American climate-change projections (Q1788883) (← links)
- Change-of-support models on irregular grids for geostatistical simulation (Q1789186) (← links)
- Estimating loss reserves using hierarchical Bayesian Gaussian process regression with input warping (Q1799645) (← links)
- Latent Gaussian random field mixture models (Q1799875) (← links)
- A dynamic nonstationary spatio-temporal model for short term prediction of precipitation (Q1939996) (← links)
- Geostatistical modeling in the presence of interaction between the measuring instruments, with an application to the estimation of spatial market potentials (Q1951520) (← links)
- Modeling temporal gradients in regionally aggregated California asthma hospitalization data (Q1951524) (← links)
- Spatial prediction and spatial dependence monitoring on georeferenced data streams (Q1985963) (← links)
- Spatio-temporal change of support modeling with \texttt{R} (Q1995874) (← links)
- Spatiotemporal lagged models for variable rate irrigation in agriculture (Q2009131) (← links)
- A hierarchical spatiotemporal statistical model motivated by glaciology (Q2009141) (← links)
- A mixture model approach for compositional data: inferring land-use influence on point-referenced water quality measurements (Q2009146) (← links)
- Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures (Q2028571) (← links)
- A spatio-temporal model for Red Sea surface temperature anomalies (Q2028573) (← links)
- A robust spatial autoregressive scalar-on-function regression with \(t\)-distribution (Q2036140) (← 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)
- Incorporating spatial structure into inclusion probabilities for Bayesian variable selection in generalized linear models with the spike-and-slab elastic net (Q2059435) (← links)
- Bayesian hierarchical statistical SIRS models (Q2066872) (← links)
- Optimal sensor placement for joint parameter and state estimation problems in large-scale dynamical systems with applications to thermo-mechanics (Q2071419) (← links)
- A three-step local smoothing approach for estimating the mean and covariance functions of spatio-temporal data (Q2075448) (← links)
- Some first inferential tools for spatial regression with differential regularization (Q2078527) (← links)
- Spatiotemporal satellite data imputation using sparse functional data analysis (Q2080746) (← links)
- Spatio-temporal expanding distance asymptotic framework for locally stationary processes (Q2082342) (← links)
- Testing independence between two spatial random fields (Q2084410) (← links)
- Vector autoregressive models with spatially structured coefficients for time series on a spatial grid (Q2084432) (← links)
- Multi-scale Vecchia approximations of Gaussian processes (Q2102959) (← links)
- A Bayesian approach for data-driven dynamic equation discovery (Q2102994) (← links)
- Bayesian finite-population inference with spatially correlated measurements (Q2103271) (← links)
- Wavelet-based fuzzy clustering of interval time series (Q2105599) (← links)
