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Whittle likelihood

The Whittle likelihood is an approximation to the likelihood function of a stationary Gaussian time series. It is named after the mathematician and… 
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Papers overview

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2016
2016
The Whittle likelihood is a computationally efficient pseudo-maximum likelihood inference procedure which is known to produce… 
2015
2015
We propose a nonstationary Gaussian likelihood approximation for the class of evolutionary spectral models for data on a regular… 
2014
2014
Empirical likelihood approach is one of non-parametric statistical methods, which is applied to the hypothesis testing or… 
2014
2014
623 Statistical and Graphical Challenges in Analyzing Big and Complex Neuroimaging Data—Invited 
2013
2013
This paper introduces a version of the Whittle likelihood for complex-valued processes. This represents a nontrivial extension of… 
2009
2009
The conditional least squares (CLS) estimator proposed by Tjostheim (1986) is convenient and important for nonlinear time series… 
2009
2009
Box and Pierce (1970) proposed a test statistic TBP which is the squared sum of m sample autocorrelations of the estimated… 
2007
2007
A  . For a class of vector-valued non-Gaussian stationary processes with unknown parameters, we develop the empirical… 
2006
2006
We consider the application of the limiting aggregate model derived by Tsai and Chan (2005d) for modeling aggregated long-memory… 
1992
1992
The penalized likelihood approach is not yet developed for time series problems, even though it has applied in a number of…