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Maksym Luz & Mikhail Moklyachuk 
Estimation of Stochastic Processes with Stationary Increments and Cointegrated Sequences [EPUB ebook] 

Ủng hộ

Estimation of Stochastic Processes is intended for researchers in the field of econometrics, financial mathematics, statistics or signal processing. This book gives a deep understanding of spectral theory and estimation techniques for stochastic processes with stationary increments. It focuses on the estimation of functionals of unobserved values for stochastic processes with stationary increments, including ARIMA processes, seasonal time series and a class of cointegrated sequences.
Furthermore, this book presents solutions to extrapolation (forecast), interpolation (missed values estimation) and filtering (smoothing) problems based on observations with and without noise, in discrete and continuous time domains. Extending the classical approach applied when the spectral densities of the processes are known, the minimax method of estimation is developed for a case where the spectral information is incomplete and the relations that determine the least favorable spectral densities for the optimal estimations are found.

€139.99
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Giới thiệu về tác giả

Maksym Luz is Deputy Local Chief Actuary and Risk Officer at BNP Paribas Cardif, Ukraine.
Mikhail Moklyachuk is Full Professor at the Department of Probability Theory, Statistics and Actuarial Mathematics, Taras Shevchenko National University of Kyiv, Ukraine.

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Ngôn ngữ Anh ● định dạng EPUB ● Trang 320 ● ISBN 9781119663508 ● Kích thước tập tin 27.4 MB ● Nhà xuất bản John Wiley & Sons ● Được phát hành 2019 ● Phiên bản 1 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 7198934 ● Sao chép bảo vệ Adobe DRM
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