The aim of this paper is to test the Multivariate Linear Parametric Models applied to daily rainfall series. These simple models allow to generate synthetic series preserving both the time correlation (autocorrelation) and the space correlation (crosscorrelation). To have synthetic daily series, in such a way realistic and usable, it is necessary the application of a corrective procedure, remov...

It is common for social science researchers to provide estimates of causal effects from regression models imposed on observational data. The many problems with such work are well documented and widely known. The usual response is to claim, with little real evidence, that the causal model is close enough to the “truth” that sufficiently accurate causal effects can be estimated. In this chapter, ...

It is common for social science researchers to provide estimates of causal e↵ects from regression models imposed on observational data. The many problems with such work are well documented and widely known. The usual response is to claim, with little real evidence, that the causal model is close enough to the “truth” that su ciently accurate causal e↵ects can be estimated. In this chapter, a mo...

The traditional worms such as Blaster, Code Red, Slammer and Sasser, are still infecting vulnerable machines on the internet. They will remain as significant threats due to their fast spreading nature on the internet. Various traditional worms attack pattern has been analyzed from various logs at different OSI layers such as victim logs, attacker logs and IDS alert log. These worms attack patte...

This paper proposes a non-deterministic event correlation technique for diagnosis problem of end-to-end service in network, which uses an event – fault model based on path domain of events. The technique utilizes a refined heuristic approach to create and update fault hypotheses that can explain these events received by system, and computes these hypotheses’ belief by C-F model method. The resu...

The causal states of computational mechanics define the minimal sufficient (prescient) memory for a given stationary stochastic process. They induce the ε-machine which is a hidden Markov model (HMM) generating the process. The ε-machine is, however, not the minimal generative HMM and minimal internal state entropy of a generative HMM is a tighter upper bound for excess entropy than provided by...

Head movements are linked not only to symbolic gestures, such as head-nodding to represent “yes” or head-shaking to represent “no,” but also to the production of suprasegmental features of speech, such as stress, prominence, and other aspects of prosody. Recent studies have shown that head movements play a more direct role in the perception of speech. In this paper, we propose a novel method fo...

The fluid-flow model is suitable for vehicle traffic on highways but not for pedestrian movements with frequent “stop-and-go” behavior. Considering the change of a mobile’s velocity within a short time is limited due to physical restrictions, therefore a mobile user’s future velocity is likely to be correlated with its past and current velocity. Since Gauss–Markov model captures the essence of ...