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Multivariate Stochastic Regression Estimation by Wavelets for Stationary Time Series

Hassan Doosti & Hossein Ali Niroumand

Pakistan Journal of Statistics2009article
ABDC C
Weight
0.26

What the paper says

The estimation of multivariate stochastic regression 12 (, ,... ) ; 1, d Yr X X X d = +e ≥ for a stationary random process { } i X using wavelet methods is considered. Uniform rates of almost sure convergence over compact subsets of d ℜ in the Besov space spq B

2 citations

Cite this paper

@article{hassan2009,
  title        = {{Multivariate Stochastic Regression Estimation by Wavelets for Stationary Time Series}},
  author       = {Hassan Doosti & Hossein Ali Niroumand},
  journal      = {Pakistan Journal of Statistics},
  year         = {2009},
}

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Multivariate Stochastic Regression Estimation by Wavelets for Stationary Time Series

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Evidence weight

0.26

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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