From the Publisher:
A valuable reference for the novice as well as for the expert who needs a wider scope of coverage within the area of cryptography, this book provides easy and rapid access of information and includes more than 200 algorithms and protocols; more than 200 tables and figures; more than 1,000 numbered definitions, facts, examples, notes, and remarks; and over 1,250 significant references, including brief comments on each paper.

Handbook of Applied Cryptography

Generalized Additive Models.

Any series of observations ordered along a single dimension, such as time, may be thought of as a time series. The emphasis in time series analysis is on studying the dependence among observations at different points in time. What distinguishes time series analysis from general multivariate analysis is precisely the temporal order imposed on the observations. Many economic variables, such as GNP and its components, price indices, sales, and stock returns are observed over time. In addition to being interested in the contemporaneous relationships among such variables, we are often concerned with relationships between their current and past values, that is, relationships over time.

Time Series Analysis

https://hal.archives-ouvertes.fr/hal-00417283/document

Independent component analysis, a new concept?

Statistical Analysis with Missing Data

This book will be most useful to applied mathematicians, communication engineers, signal processors, statisticians, and time series researchers, both applied and theoretical. Readers should have some background in complex function theory and matrix algebra and should have successfully completed the equivalent of an upper division course in statistics.

Time Series: Data Analysis and Theory

Multivariate Statistical Methods

Multivariate Procedures for the Behavioral Sciences.

I. I N T R O D U C T I O N The study of the behaviour of small networks of neurones frequently requires the determination of measures of the strength of association between component neurones, an assessment of their timing relations, and the identification of which neurones may interact directly or are influenced by common inputs. In many of these studies the principal quantities available for analysis are the sequences of extracellularly recorded action potentials (neuronal spike trains). The subsequent analytical work is then based entirely on the relations between the times of occurrence of the action potentials recorded from different neurones. In these circumstances neuronal spike trains are frequently represented as the mathematical entity known as a stochastic point process. These processes are described by providing a probability law for a set of ordered times

David R. Brillinger

Papers

Time Series: Data Analysis and Theory

Multivariate Statistical Methods

Time Series: Data Analysis and Theory

Multivariate Procedures for the Behavioral Sciences.

The Fourier approach to the identification of functional coupling between neuronal spike trains.