An extension of max autoregressive models

An extension of min/max flow framework

23 24 25 26 27 28 29 30 31 32 33 34 Article history: Received 30 January 2004 Received in revised form 15 September 2006 Accepted 7 May 2008 Available online xxxx

An extension of stochastic differential models by using the Grunwald-Letnikov fractional derivative

Stochastic differential equations (SDEs) have been applied by engineers and economists because it can express the behavior of stochastic processes in compact expressions. In this paper, by using Grunwald-Letnikov fractional derivative, the stochastic differential model is improved. Two numerical examples are presented to show efficiency of the proposed model. A numerical optimization approach b...

note~ for Max - An extension for Max/MSP for Media Arts & music

note~ for Max consists of four objects for the Software Max/MSP which allow sequencing in floating point resolution and provide a Graphical User Interface and a Scripting Interface for generating events within a timeline. Due to the complete integration into Max/MSP it is possible to control almost every type of client like another software, audio and video or extern hardware by note~ or contro...

Bivariate binomial autoregressive models

This paper introduces new classes of bivariate time series models being useful to fit count data time series with a finite range of counts. Motivation comes mainly from the comparison of schemes for monitoring tourism demand, stock data, production and environmental processes. All models are based on the bivariate binomial distribution of Type II. First, a new family of bivariate integer-valued...

Vector Autoregressive Models