Let \(\boldsymbol{W}\) be a \(p \times p\) matrix distributed according to the Wishart distribution \(W_{p}(n, \boldsymbol{\Phi})\) with \(\boldsymbol{\Phi}\) positive definite and \(n \geqslant p\). Let \(\left(m / \sigma^{2}\right) g\) be distributed according to the chi-squared distribution \(\ch
Generalized likelihood ratio tests for the structure of semiparametric additive models
β Scribed by Jiancheng Jiang; Haibo Zhou; Xuejun Jiang; Jianan Peng
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- French
- Weight
- 1006 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0319-5724
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## Abstract A design procedure for detecting additive changes in a stateβspace model is proposed. Since the mean of the observations after the change is unknown, detection algorithms based on the generalized likelihood ratio test, GLR, and on windowβlimited type GLR, are considered. As Lai (1995) p
There was an error in Hansen (1992). I am very grateful to James Hamilton for pointing out the error. Equations ( 2) and (3) in the original read where Q ( a ) is a mean zero Gaussian process with covariance function K(ai, a21 = E(q;(ai)~i(ad). While equation ( 2) is correct, (3) is not. Instead,