Diagnostic Checks in Time Series
By Wai Keung Li. 2003
85 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/1534af0dcd591416a507381c8231ac07b155d84b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jinyuan Chang
- Qiwei Yao
- Lajos Horv'ath
- Wen-Xin Zhou
- Siegfried Hormann
- Alexander Aue
- Matthew Reimherr
- Clifford Lam
Citations in the corpus
- Break detection in the covariance structure of multivariate time series models (2009, background): “Manifold estimation procedures are well-developed and tests assessing the struc tural stability and the goodness of fit are widely available (see, among many others, [9, 16, 18, 39, 40, 48] and the references therein).”
- Testing for high-dimensional white noise using maximum cross-correlations (2016, methodology): “We compare the new tests Tn and T ∗ n with three multivariate portmanteau tests with test statistics: Q1 = n ∑K k=1 tr{Γ̂(k)Γ̂(k)} (Box & Pierce, 1970), Q2 = n2 ∑K k=1 tr{Γ̂(k)Γ̂(k)}/(n− k) (Hosking, 1980), and Q3 = n ∑K k=1 tr{Γ̂(k)Γ̂(k)}+ p2K(K + 1)/(2n) (Li & Mcleod, 1981), where Γ̂(k) is the sam”