Nonlinear dynamics and time series : building a bridge between the natural and statistical sciences Tools for the analysis of chaotic data Henry D.I. Abarbanel Some comments on nonlinear time series analysis Howell Tong A general approach to predictive and fractal scaling dimensions in discrete index time series Collen D. Cutler Statistics for continuity and differentiability : an application to attractor reconstruction from time series Louis M. Pecora Thomas L. Carroll and James F. Heagy Reconstruction of integrate and fire dyanmics Tim Sauer On the validity of the method of surrogate data Kung sik Chan Using surrogate surrogate data to calibrate the actual rate of false positives in tests for nonlinearity in time series James Theiler and Deal Prichard Chaos with confidence : asymptotics and applications of local Lyapunov exponents Barbara A. Bailey Stephen Ellner and Douglas W. Nychka Estimating local Lyapunov exponents Zhan Qian Lu and Richard L. Smith Defining and measuring long range dependence Peter Hall Modelling nonlinearity and long memory in time series Peter M. Robinson and Paolo Zaffaroni Ergodic distributions of random dynamical systems L. Mark Berliner Steven N. MacEachern and Catherine Scipione Forbes Detecting structure in noise Lisa Borland Characterizing nonlinearity in weather and epilepsy data : a personal view Martin C. Casdagli Assessment of linear and nonlinear correlations between neural firing events Andr(c)♭ Longtin and Daniel M. Racicot Markov chain methods in the analysis of heart rate variability Stephen J. Merrill and John R. Cochran