Nonparametric Statistics for Stochastic Processes is popular PDF and ePub book, written by Denis Bosq in 1996, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Nonparametric Statistics for Stochastic Processes can be Read Online from any device for your convenience.
Nonparametric Statistics for Stochastic Processes Book PDF Summary
This book provides a mathematically rigorous treatment of the theory of nonparametric estimation and prediction for stochastic processes. It discusses discrete time and continuous time, and the emphasis is on the kernel methods. Several new results are presented concerning optimal and superoptimal convergence rates. How to implement the method is discussed in detail and several numerical results are presented. This book will be of interest to specialists in mathematical statistics and to those who wish to apply these methods to practical problems involving time series analysis.
Detail Book of Nonparametric Statistics for Stochastic Processes PDF
- Author : Denis Bosq
- Release : 01 October 1996
- Publisher : Springer Science & Business Media
- ISBN : UOM:39015040428487
- Genre : Mathematics
- Total Page : 194 pages
- Language : English
- PDF File Size : 18,8 Mb
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