It is Paris, just after the end of the First World War. The reclusive writer Marcel Proust (Marcello Mazzarella) remembers his childhood & muses on the nature of time & memory. As he becomes increasingly absorbed in his art, the boundaries between reality & fiction begin to blur, & he becomes involved with many fantastic characters, such as the Baron de Charlus (John Malkovich), his sometime lover Charlie Morel (Vincent Perez), wartime veteran Robert de Saint-Loup (Pascal Greggory) & his wife Gilberte (Emmanuelle Beart)... ...

Suitable for architects, engineers, & designers, this book takes a fresh, visual approach to the information architects need to access quickly, helping them save time & money by assuring they get it right the first time. The accompanying CD-ROM contains the complete contents of the eighth edition. ...

Focusing on Bayesian approaches & computations using the simulation-based methods, this book integrates mainstream approaches for time series modeling with the developments in methodology & applications of time series analysis. It presents overviews of several classes of models & related methodology for inference, & forecasting. ...

Emphasizes basic methods for modeling linear dynamic systems. This book presents an understanding of basic concepts, such as multivariate random variables, stochastic processes, & regression-based methods. It covers topics that include spectral analysis, state space models, & recursive estimation. ...

This book presents an accessible approach to understanding time series models & their applications. The ideas & methods are illustrated with both real & simulated data sets. A unique feature of this edition is its integration with the R computing environment. ...

A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic & financial time series. It explores such important innovations as vector regression, nonlinear time series models & the generalized methods of moments. ...

Provides the fundamental techniques in time series analysis using various examples. This title helps readers develop an intuitive understanding of seemingly complicated time series models & their implications. It presents methodologies for time series analysis in a simplified, example-based approach. ...

Presents a treatment of both time & frequency domain methods with accompanying theory. Employing several examples which use non-trivial data, this book illustrates solutions to problems such as evaluating pain perception experiments using magnetic resonance imaging, monitoring a nuclear test ban treaty, & evaluating the volatility of an asset. ...