A general frequency domain method for assessing spatial covariance structures
DOI10.3150/19-BEJ1160zbMath1469.62352OpenAlexW3080601330MaRDI QIDQ2203611
Soutir Bandyopadhyay, Matthew van Hala, Daniel J. Nordman, Soumendra Nath Lahiri
Publication date: 7 October 2020
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.bj/1598493620
samplingvariogramrandom fieldsconfidence setsspatial periodogramspatial testingspectral moment conditions
Inference from spatial processes (62M30) Random fields; image analysis (62M40) Nonparametric tolerance and confidence regions (62G15) Inference from stochastic processes and spectral analysis (62M15)
Cites Work
- Unnamed Item
- Unnamed Item
- Empirical likelihood methods with weakly dependent processes
- Testing for spatial isotropy under general designs
- Resampling methods for spatial regression models under a class of stochastic designs
- A review of empirical likelihood methods for time series
- Empirical likelihood ratio confidence regions
- Asymptotic properties of discrete Fourier transforms for spatial data
- Smoothed periodogram asymptotics and estimation for processes and fields with possible long-range dependence
- Correlation theory of stationary and related random functions. Volume I: Basic results
- Interpolation of spatial data. Some theory for kriging
- Empirical likelihood and general estimating equations
- Properties of nonparametric estimators of autocovariance for stationary random fields
- Blockwise empirical likelihood for spatial Markov model assessment
- Statistical inference for spatial statistics defined in the Fourier domain
- Asymptotic distributions of M-estimators in a spatial regression model under some fixed and stochastic spatial sampling designs
- Asymptotic distributions of minimum norm quadratic estimators of the covariance function of a Gaussian random field
- Goodness-of-fit tests for the spatial spectral density
- A frequency domain empirical likelihood method for irregularly spaced spatial data
- On the non-standard distribution of empirical likelihood estimators with spatial data
- Asymptotic normality of the Nadaraya-Watson semivariogram estimators
- A formal test for nonstationarity of spatial stochastic processes
- Testing for separability of spatial\,-\,temporal covariance functions
- A Spectral Domain Test for Stationarity of Spatio‐Temporal Data
- Fixed-Domain Asymptotics for Spatial Periodograms
- Lectures on Fourier Integrals. (AM-42)
- Empirical likelyhood for irregularly located spatial data
- Fourier Analysis of Irregularly Spaced Data onRd
- Point and Interval Estimation of Variogram Models Using Spatial Empirical Likelihood
- Parameter estimation for a stationary process on a d-dimensional lattice
- Spectral methods for nonstationary spatial processes
- Statistics for Spatial Data
- Semiparametric Estimation of Spectral Density With Irregular Observations
- A Test for Stationarity for Irregularly Spaced Spatial Data
- A Nonparametric Test for Spatial Isotropy Using Subsampling
- ON STATIONARY PROCESSES IN THE PLANE
This page was built for publication: A general frequency domain method for assessing spatial covariance structures
