Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 226,930,399 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
12 relations
Colors of noise
Discrete Fourier transform
Gaussian process
Matched filter
Expand
Broader (2)
Estimation theory
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
The De-Biased Whittle Likelihood for Second-Order Stationary Stochastic Processes
A. Sykulski
,
S. Olhede
,
Arthur Guillaumin
,
J. Lilly
,
J. Early
2016
Corpus ID: 88521833
The Whittle likelihood is a computationally efficient pseudo-maximum likelihood inference procedure which is known to produce…
Expand
2015
2015
LIKELIHOOD APPROXIMATIONS FOR BIG NONSTATIONARY SPATIAL TEMPORAL LATTICE DATA
J. Guinness
,
M. Fuentes
2015
Corpus ID: 34437576
We propose a nonstationary Gaussian likelihood approximation for the class of evolutionary spectral models for data on a regular…
Expand
2014
2014
An empirical likelihood approach for symmetric $\alpha$-stable processes
Fumiya Akashi
,
Yan Liu
,
M. Taniguchi
2014
Corpus ID: 88513889
Empirical likelihood approach is one of non-parametric statistical methods, which is applied to the hypothesis testing or…
Expand
2014
2014
Independent Component Analysis for Spatial Stochastic Processes on A Lattice
H. Shen
2014
Corpus ID: 59449733
623 Statistical and Graphical Challenges in Analyzing Big and Complex Neuroimaging Data—Invited
2013
2013
The Whittle Likelihood for Complex-Valued Time Series
A. Sykulski
,
S. Olhede
,
J. Lilly
,
J. Early
2013
Corpus ID: 125100130
This paper introduces a version of the Whittle likelihood for complex-valued processes. This represents a nontrivial extension of…
Expand
2009
2009
ASYMPTOTIC EFFICIENCY OF ESTIMATING FUNCTION ESTIMATORS FOR NONLINEAR TIME SERIES MODELS
Tomoyuki Amano
2009
Corpus ID: 17445052
The conditional least squares (CLS) estimator proposed by Tjostheim (1986) is convenient and important for nonlinear time series…
Expand
2009
2009
SYSTEMATIC APPROACH FOR PORTMANTEAU TESTS IN VIEW OF THE WHITTLE LIKELIHOOD RATIO
M. Taniguchi
,
Tomoyuki Amano
2009
Corpus ID: 40995968
Box and Pierce (1970) proposed a test statistic TBP which is the squared sum of m sample autocorrelations of the estimated…
Expand
2007
2007
Empirical Likelihood Approach for Non-Gaussian Vector Stationary Processes and Its Application to Minimum Contrast Estimation
Hiroaki Ogata
,
M. Taniguchi
2007
Corpus ID: 34930536
A . For a class of vector-valued non-Gaussian stationary processes with unknown parameters, we develop the empirical…
Expand
2006
2006
QUASI-MAXIMUM LIKELIHOOD ESTIMATION OF LONG-MEMORY LIMITING AGGREGATE PROCESSES
Henghsiu Tsai
2006
Corpus ID: 18017844
We consider the application of the limiting aggregate model derived by Tsai and Chan (2005d) for modeling aggregated long-memory…
Expand
1992
1992
Penalized Whittle Likelihood Estimation of Spectral Density Functions . 1
Y. Pawitan
1992
Corpus ID: 12074604
The penalized likelihood approach is not yet developed for time series problems, even though it has applied in a number of…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE