The following pages link to Statistics for Spatial Data (Q5251209):
Displaying 50 items.
- Spatially balanced sampling through the pivotal method (Q104223) (← links)
- Cross-covariance functions for multivariate geostatistics (Q254420) (← links)
- Capturing multivariate spatial dependence: model, estimate and then predict (Q254433) (← links)
- Gaussian and robust Kronecker product covariance estimation: existence and uniqueness (Q290708) (← links)
- A comparison of spatial predictors when datasets could be very large (Q311779) (← links)
- Understanding resident mobility in Milan through independent component analysis of Telecom Italia mobile usage data (Q312926) (← links)
- Clustering Chlorophyll-a satellite data using quantiles (Q312955) (← links)
- Latent spatial models and sampling design for landscape genetics (Q312969) (← links)
- Non-stationary dependence structures for spatial extremes (Q321454) (← links)
- Point pattern analysis of spatial deformation and blurring effects on exceedances (Q321461) (← links)
- A Kolmogorov-Smirnov type test for independence between marks and points of marked point processes (Q485912) (← links)
- On estimation and selection of autologistic regression models via penalized pseudolikelihood (Q486061) (← links)
- A scalar-valued infinitely divisible random field with Pólya autocorrelation (Q504477) (← links)
- Statistical inference for spatial auto-linear processes (Q539787) (← links)
- On four-point penalized Lagrange subdivision schemes (Q671177) (← links)
- Combining survey and non-survey data for improved sub-area prediction using a multi-level model (Q725241) (← links)
- Bayesian data fusion in a spatial prediction context: a general formulation (Q732715) (← links)
- On the consistency of inversion-free parameter estimation for Gaussian random fields (Q739606) (← links)
- KL-optimal experimental design for discriminating between two growth models applied to a beef farm (Q746542) (← links)
- Recent developments in complex and spatially correlated functional data (Q783297) (← links)
- A multi-resolution approximation via linear projection for large spatial datasets (Q825323) (← links)
- A connectivity index for discrete fracture networks (Q883163) (← links)
- Modelling spatial variability along drainage networks with geostatistics (Q883169) (← links)
- Estimating abundance from counts in large data sets of irregularly spaced plots using spatial basis functions (Q894826) (← links)
- On degeneracy and invariances of random fields paths with applications in Gaussian process modelling (Q899361) (← links)
- The asymptotic distribution of the maxima of a Gaussian random field on a lattice (Q907378) (← links)
- Data-driven neighborhood selection of a Gaussian field (Q962389) (← links)
- Parallel exact sampling and evaluation of Gaussian Markov random fields (Q1019927) (← links)
- Second-order characteristics of spatial marked processes with applications (Q1586531) (← links)
- Transforming spatial point processes into Poisson processes (Q1593631) (← links)
- Effective sample size for spatial regression models (Q1616305) (← links)
- Tensor cubic smoothing splines in designed experiments requiring residual modelling (Q1618196) (← links)
- Control charts for multivariate spatial autoregressive models (Q1622097) (← links)
- Clustering the prevalence of pediatric chronic conditions in the United States using distributed computing (Q1624814) (← links)
- Bayesian spatiotemporal modeling using hierarchical spatial priors, with applications to functional magnetic resonance imaging (with discussion) (Q1631610) (← links)
- Phenomenological forecasting of disease incidence using heteroskedastic Gaussian processes: a dengue case study (Q1647581) (← links)
- A spatio-temporal modeling framework for weather radar image data in tropical southeast Asia (Q1647622) (← links)
- A multi-resolution model for non-Gaussian random fields on a sphere with application to ionospheric electrostatic potentials (Q1647630) (← links)
- Fast inference of individual admixture coefficients using geographic data (Q1647644) (← links)
- A new class of high-order methods for fluid dynamics simulations using Gaussian process modeling: one-dimensional case (Q1668731) (← links)
- Surrogate-based feasibility analysis for black-box stochastic simulations with heteroscedastic noise (Q1668809) (← links)
- Orthogonal series estimates on strong spatial mixing data (Q1681044) (← links)
- Varying-coefficient models for geospatial transfer learning (Q1698847) (← links)
- Bayesian non-parametric modeling for integro-difference equations (Q1702285) (← links)
- Functional principal component analysis of spatially correlated data (Q1703841) (← links)
- Low dimensional modeling of double T-junctions in water distribution networks using Kriging interpolation and Delaunay triangulation (Q1704035) (← links)
- Multi-rubric models for ordinal spatial data with application to online ratings data (Q1728631) (← links)
- Estimation of spatial autoregressive models with measurement error for large data sets (Q1729301) (← links)
- sppmix: Poisson point process modeling using normal mixture models (Q1729311) (← links)
- Signal aliasing in Gaussian random fields for experiments with qualitative factors (Q1731065) (← links)
