The following pages link to Statistics for Spatial Data (Q5251209):
Displaying 50 items.
- Modeling spatially dependent functional data via regression with differential regularization (Q1733289) (← links)
- Robust scan statistics for detecting a local change in population mean for normal data (Q1739384) (← links)
- Simulated variogram-based error inspection of manufactured parts (Q1757251) (← links)
- On species richness and rarefaction: size- and coverage-based techniques quantify different characteristics of richness change in biodiversity (Q1789074) (← links)
- Path refinement in weighted regions (Q1799222) (← links)
- Smoothing and mixed models (Q1887218) (← links)
- Adaptive covariance estimation with model selection (Q1935400) (← links)
- Systems of Gaussian process models for directed chains of solvers (Q1988026) (← links)
- Goodness-of-fit tests for the spatial spectral density (Q2001998) (← links)
- A regionalisation approach for rainfall based on extremal dependence (Q2028583) (← links)
- Modeling and simulating depositional sequences using latent Gaussian random fields (Q2040696) (← links)
- Bayesian spatial modeling for housing data in South Africa (Q2061773) (← links)
- From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas (Q2062763) (← links)
- Stochastic properties of spatial and spatiotemporal ARCH models (Q2066512) (← links)
- Two-way layout factorial experiments of spatial point pattern responses in mineral flotation (Q2074689) (← links)
- Analyzing stochastic computer models: a review with opportunities (Q2075795) (← links)
- Markov random field models for vector-based representations of landscapes (Q2078273) (← links)
- Some first inferential tools for spatial regression with differential regularization (Q2078527) (← links)
- Response envelopes for linear coregionalization models (Q2079594) (← links)
- A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes (Q2080349) (← links)
- Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series (Q2080360) (← links)
- A spatial causal analysis of wildland fire-contributed \(\mathrm{PM}_{2.5}\) using numerical model output (Q2080787) (← links)
- Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions (Q2084334) (← links)
- Modeling crop phenology in the US corn belt using spatially referenced SMOS satellite data (Q2084391) (← links)
- Flexible modeling of variable asymmetries in cross-covariance functions for multivariate random fields (Q2084396) (← links)
- Spatial sampling design using generalized Neyman-Scott process (Q2084408) (← links)
- Classification of events using local pair correlation functions for spatial point patterns (Q2084443) (← links)
- Discussion on competition on spatial statistics for large datasets (Q2084453) (← links)
- Optimal spatial prediction for non-negative spatial processes using a phi-divergence loss function (Q2087081) (← links)
- Methods to compute prediction intervals: a review and new results (Q2092900) (← links)
- Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction (Q2095726) (← links)
- VPint: value propagation-based spatial interpolation (Q2097440) (← links)
- Spatial econometrics for misaligned data (Q2106400) (← links)
- Local spatial log-Gaussian Cox processes for seismic data (Q2106831) (← links)
- Bayesian fixed-domain asymptotics for covariance parameters in a Gaussian process model (Q2112815) (← links)
- Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering (Q2114043) (← links)
- Low-rank multi-parametric covariance identification (Q2114111) (← links)
- Modeling transitivity in local structure graph models (Q2121715) (← links)
- Integrating \(\varepsilon \)-dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems (Q2124811) (← links)
- Partitioning around medoids clustering and random forest classification for GIS-informed imputation of fluoride concentration data (Q2135383) (← links)
- Automatic estimation of spatial spectra via smoothing splines (Q2135879) (← links)
- Reduced-bias estimation of spatial autoregressive models with incompletely geocoded data (Q2135923) (← links)
- A computational validation for nonparametric assessment of spatial trends (Q2135946) (← links)
- Spatial regression with non-parametric modeling of Fourier coefficients (Q2151603) (← links)
- Approximate Bayesian inference for analysis of spatiotemporal flood frequency data (Q2154186) (← links)
- Spatial generalized linear models with non-Gaussian translation processes (Q2163485) (← links)
- Modeling forest tree data using sequential spatial point processes (Q2163493) (← links)
- Bayesian models for analysis of inventory and monitoring data with non-ignorable missingness (Q2163502) (← links)
- Spatial analysis and visualization of global data on multi-resolution hexagonal grids (Q2195525) (← links)
- Multivariate transformed Gaussian processes (Q2195526) (← links)
