|Authors:||Hrishikesh D. Vinod, Javier Lopez-de-Lacalle|
|Title:||Maximum Entropy Bootstrap for Time Series: The meboot R Package|
|Abstract:||The maximum entropy bootstrap is an algorithm that creates an ensemble for time series inference. Stationarity is not required and the ensemble satisfies the ergodic theorem and the central limit theorem. The meboot R package implements such algorithm. This document introduces the procedure and illustrates its scope by means of several guided applications.|
Page views:: 9526. Submitted: 2007-10-17. Published: 2009-01-21.
Maximum Entropy Bootstrap for Time Series: The meboot R Package
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.