Add to ORKGWe present an approach for the spectral analysis of of non-stationary spectral processes, that is based on the..
An open-source tool for non-stationary spectral density estimation with wavelet transform, and simul...
This is the pre-print version of the article found in Statistical Modelling (http://smj.sagepub.com/...
International audienceAn approach to the spectral estimation for some classes of non-stationary rand...
The aim of this paper is to take stock of the important recent contributions to spectral analysis, e...
Spatial processes are an important modeling tool for many problems of environmental monitoring. Clas...
Random processes with almost periodic covariance function are considered from a spectral outlook. Gi...
Spatio-temporal processes can often be written as hierarchical state-space processes
Spectral methods are powerful tools to study and model the dependency structure of spatial temporal ...
In spatial statistics often the response variable at a given location and time is ob-served together...
AbstractSpatial statistics is one of the major methodologies of image analysis, field trials, remote...
Spectral analysis of stationary processes has played an essential role in the development of Time Se...
A novel approach to the problem of estimating a spatial spectrum in a non-stationary environment has...
The problem of estimating the distribution of energy arriving at an array as a function of bearing i...
Whereas frequency and time domain approaches to the analysis of temporal processes are regarded as c...
The time series, studied e.g. in economics, biology, astronomy, constitute samples of stochastic pro...
An open-source tool for non-stationary spectral density estimation with wavelet transform, and simul...
This is the pre-print version of the article found in Statistical Modelling (http://smj.sagepub.com/...
International audienceAn approach to the spectral estimation for some classes of non-stationary rand...
The aim of this paper is to take stock of the important recent contributions to spectral analysis, e...
Spatial processes are an important modeling tool for many problems of environmental monitoring. Clas...
Random processes with almost periodic covariance function are considered from a spectral outlook. Gi...
Spatio-temporal processes can often be written as hierarchical state-space processes
Spectral methods are powerful tools to study and model the dependency structure of spatial temporal ...
In spatial statistics often the response variable at a given location and time is ob-served together...
AbstractSpatial statistics is one of the major methodologies of image analysis, field trials, remote...
Spectral analysis of stationary processes has played an essential role in the development of Time Se...
A novel approach to the problem of estimating a spatial spectrum in a non-stationary environment has...
The problem of estimating the distribution of energy arriving at an array as a function of bearing i...
Whereas frequency and time domain approaches to the analysis of temporal processes are regarded as c...
The time series, studied e.g. in economics, biology, astronomy, constitute samples of stochastic pro...
An open-source tool for non-stationary spectral density estimation with wavelet transform, and simul...
This is the pre-print version of the article found in Statistical Modelling (http://smj.sagepub.com/...
International audienceAn approach to the spectral estimation for some classes of non-stationary rand...