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Titlebook: Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis; A Frequency Domain A Gy?rgy Terdik Book 1999 Springer Sc

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11#
發(fā)表于 2025-3-23 13:05:50 | 只看該作者
https://doi.org/10.1007/978-1-4612-1552-3Fitting; Variance; calculus; statistics; time series
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發(fā)表于 2025-3-23 17:55:57 | 只看該作者
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發(fā)表于 2025-3-23 19:47:04 | 只看該作者
Lecture Notes in Statisticshttp://image.papertrans.cn/b/image/186237.jpg
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發(fā)表于 2025-3-24 00:51:08 | 只看該作者
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發(fā)表于 2025-3-24 05:00:21 | 只看該作者
https://doi.org/10.1007/1-4020-5256-1d to investigate the stationary functionals of the Brownian motion processes in terms of higher order stochastic integrals. He developed the so called chaotic series representations [146]. The frequency domain analysis of stationary flows in the space of £. functionals of standard Wiener processes c
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發(fā)表于 2025-3-24 20:17:13 | 只看該作者
Foundations,ting the expectation of nonlinear function of Gaussian random variables, see [13] and [127]. Then we define the classical Hermite polynomials and their generalization with several variables. A rather simple introduction to cumulants is given. The diagram formulae are used to show the basic connectio
20#
發(fā)表于 2025-3-25 00:43:26 | 只看該作者
,The Multiple Wiener-It? Integral,d to investigate the stationary functionals of the Brownian motion processes in terms of higher order stochastic integrals. He developed the so called chaotic series representations [146]. The frequency domain analysis of stationary flows in the space of £. functionals of standard Wiener processes c
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