Nonlinear time-series analysis revisited

Nonlinear Time Series Analysis

Nonlinear Time Series Analysis

This book represents a modern approach to time series analysis which is based on the theory of dynamical systems. It starts from a sound outline of the underlying theory to arrive at very practical issues, which are illustrated using a large number of empirical data sets taken from various fields. This book will hence be highly useful for scientists and engineers from all disciplines who study ...

Nonlinear Dynamics Time Series Analysis

Much of what is known about physiological systems has been learned using linear system theory. However, many biomedical signals are apparently random or aperiodic in time. Traditionally, the randomness in biological signals has been ascribed to noise or interactions between very large numbers of constituent components. One of the most important mathematical discoveries of the past few decades i...

Analysis of fMRI time-series revisited--again.

Friston et al. (1995, NeuroImage 2:45-53) presented a method for detecting activations in fMRI time-series based on the general linear model and a heuristic analysis of the effective degrees of freedom. In this communication we present corrected results that replace those of the previous paper and solve the same problem without recourse to heuristic arguments. Specifically we introduce a proper...

Analysis of fMRI Time - Series Revisited - AgainK

Friston et al. (1995) presented a method for detecting activations in fMRI time-series based on the general linear model and a heuristic analysis of the eeective degrees of freedom. In this communication we present corrected results that replace those of the previous paper and solve the same problem without recourse to heuristic arguments. Speciically we introduce a proper and unbiased estimato...