| 书目名称 | Nonlinear Filters | | 副标题 | Estimation and Appli | | 编辑 | Hisashi Tanizaki | | 视频video | http://file.papertrans.cn/668/667499/667499.mp4 | | 图书封面 |  | | 描述 | Nonlinear and nonnormal filters are introduced and developed. Traditional nonlinear filters such as the extended Kalman filter and the Gaussian sum filter give biased filtering estimates, and therefore several nonlinear and nonnormal filters have been derived from the underlying probability density functions. The density-based nonlinear filters introduced in this book utilize numerical integration, Monte-Carlo integration with importance sampling or rejection sampling and the obtained filtering estimates are asymptotically unbiased and efficient. By Monte-Carlo simulation studies, all the nonlinear filters are compared. Finally, as an empirical application, consumption functions based on the rational expectation model are estimated for the nonlinear filters, where US, UK and Japan economies are compared. | | 出版日期 | Book 1996Latest edition | | 关键词 | Prognoseverfahren; Simulation; Zeitreihen; econometrics; forecasting; nichtlineare Filter; nonlinear filte | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-662-03223-7 | | isbn_softcover | 978-3-642-08253-5 | | isbn_ebook | 978-3-662-03223-7 | | copyright | Springer-Verlag Berlin Heidelberg 1996 |
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