Correlated, non-Markovian noise is present in many solid-state systems employed as hosts for quantum information technologies, significantly complicating the realistic theoretical description of these systems. In this regime, effects on sequences gates cannot be described by concatenating isolated operations if environmental correlation times are scale typical gate durations. The filter-functio...

This paper generalizes Poisson-Multifractal for correlated time series of count data. We show that the model has useful properties; it captures long-term time dependence and exible dependence between types of count. Based on real data, the correlated multifractal model is used to model the number of claims of two separate coverages in automobile insurance. Smoothed values of the underlying proc...

In this paper we introduce a correlated input process model SSMP (Special Semi-Markov Process) for telecommunication networks. Many other models, including the two-state Markov modulated Poisson process MMPP(2), separately treated in the literature are shown to be special cases. The SSMP can be applied for directly modeling discrete-time input processes which are important for the future broadb...

In this paper, the arrival of new calls and handoff calls to a personal communications services (PCS) network is modeled by a Markov arrival process (MAP) in which we allow correlation of the interarrival times among new calls, among handoff calls, as well as between these two kinds of calls. A new call will retry again if the first attempt is blocked. The PCS network consists of homogeneous ce...

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Riassunto: Si propone un modello gerarchico Bayesiano a due stadi per l’analisi geografica del rischio relativo di malattia. Al primo livello si assume che il numero osservato di casi della malattia d’interesse si distribuisca in accordo a una distribuzione di Poisson, con valore atteso il prodotto tra il rischio relativo specifico per area e il numero atteso di casi sotto ipotesi di omogeneità...

Varying coefficient model has been popular in the literature. In this paper, we propose a profile least squares estimation procedure to its regression coefficients when its random error is an auto-regressive (AR) process. We further study the asymptotic properties of the proposed procedure, and establish the asymptotic normality for the resulting estimate. We show that the resulting estimate fo...

This paper discusses novel research conducted to study the direct impact of learner’s affective changes on the value of a well established EEG-mental engagement index. An acquisition protocol for recording the electrical activity of the human brain, known as electroencephalography or EEG, was implemented in a learning environment specifically constructed for emotional elicitation. Data was coll...