Pages that link to "Item:Q2581892"
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The following pages link to Testing for separability of spatial\,-\,temporal covariance functions (Q2581892):
Displaying 48 items.
- Equivariant minimax dominators of the MLE in the array normal model (Q149115) (← links)
- Restricted covariance priors with applications in spatial statistics (Q273651) (← links)
- Parameter tuning for a multi-fidelity dynamical model of the magnetosphere (Q386717) (← links)
- Characteristics of some classes of space-time covariance functions (Q394112) (← links)
- An adjusted likelihood ratio test for separability in unbalanced multivariate repeated measures data (Q537435) (← links)
- Comments on: A general science-based framework for nonlinear spatio-temporal dynamical models (Q619129) (← links)
- Testing separability in marked multidimensional point processes with covariates (Q652602) (← links)
- A tuning parameter free test for properties of space-time covariance functions (Q730823) (← links)
- Testing lack of symmetry in spatial-temporal processes (Q935415) (← links)
- Model comparison and selection for stationary space-time models (Q1020121) (← links)
- Adaptive-weight burden test for associations between quantitative traits and genotype data with complex correlations (Q1620998) (← links)
- An expectation-maximization algorithm for the matrix normal distribution with an application in remote sensing (Q1661328) (← links)
- Testing axial symmetry and separability of lattice processes (Q1776853) (← links)
- A review of nonparametric hypothesis tests of isotropy properties in spatial data (Q1790343) (← links)
- Evaluating stationarity via change-point alternatives with applications to fMRI data (Q1940029) (← links)
- Inference without smoothing for large panels with cross-sectional and temporal dependence (Q2024477) (← links)
- Spatio-temporal expanding distance asymptotic framework for locally stationary processes (Q2082342) (← links)
- Testing independence between two spatial random fields (Q2084410) (← links)
- A general frequency domain method for assessing spatial covariance structures (Q2203611) (← links)
- A test for separability in covariance operators of random surfaces (Q2215739) (← links)
- Edge universality of separable covariance matrices (Q2279318) (← links)
- A frequency domain empirical likelihood method for irregularly spaced spatial data (Q2343954) (← links)
- A class of valid Matérn cross-covariance functions for multivariate spatio-temporal random fields (Q2407533) (← links)
- Permutation based testing on covariance separability (Q2418078) (← links)
- Limiting spectral distribution of renormalized separable sample covariance matrices when \(p/n\to 0\) (Q2438628) (← links)
- A likelihood ratio test for separability of covariances (Q2493131) (← links)
- Quantifying deviations from separability in space-time functional processes (Q2676946) (← links)
- Testing for Equality of an Increasing Number of Spectral Density Functions (Q2787366) (← links)
- Strict Positive Definiteness of a Product of Covariance Functions (Q2892640) (← links)
- A Spectral Domain Test for Stationarity of Spatio‐Temporal Data (Q2968471) (← links)
- Model-based tests for simplification of lattice processes (Q3070624) (← links)
- Testing the covariance structure of multivariate random fields (Q3181922) (← links)
- Testing Separability in Spatial-Temporal Marked Point Processes (Q3442978) (← links)
- An asymptotic test for separability of a spatial autoregressive model (Q4337046) (← links)
- Efficient generalized Golub–Kahan based methods for dynamic inverse problems (Q4607819) (← links)
- Testing Separability of Functional Time Series (Q4684337) (← links)
- Classification of Gaussian spatio-temporal data with stationary separable covariances (Q4993836) (← links)
- Separability tests for high-dimensional, low-sample size multivariate repeated measures data (Q5130542) (← links)
- Considering groups in the statistical modeling of spatio-temporal data (Q5148507) (← links)
- Construction of a criterion for testing hypothesis about covariance function of a stationary Gaussian stochastic process with unknown mean (Q5154098) (← links)
- A FREQUENCY DOMAIN APPROACH FOR THE ESTIMATION OF PARAMETERS OF SPATIO‐TEMPORAL STATIONARY RANDOM PROCESSES (Q5176763) (← links)
- Surface estimation under local stationarity (Q5256288) (← links)
- OUP accepted manuscript (Q5384480) (← links)
- Multi-scale invariant fields: estimation and prediction (Q5854153) (← links)
- Performance of the supervised generative classifiers of spatio-temporal areal data using various spatial autocorrelation indexes (Q5885987) (← links)
- A general procedure for selecting a class of fully symmetric space‐time covariance functions (Q6179628) (← links)
- Prediction in regression models with continuous observations (Q6579409) (← links)
- 30 years of space-time covariance functions (Q6602109) (← links)
