Results 31 to 40 of about 18,455,975 (322)
Impact of non-Poisson activity patterns on spreading processes [PDF]
, 2006 Halting a computer or biological virus outbreak requires a detailed understanding of the timing of the interactions between susceptible and infected individuals.
Albert-László Barabási +7 more
core +2 more sources
Covid-19 Data Analysis in Tarakan with Poisson Regression and Spatial Poisson Process
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2023 COVID-19 entered Indonesia in March 2020 and included North Kalimantan Province, Tarakan. COVID-19 cases have outspread in Tarakan. The cause of the outspread and the patterns were not known yet. One relevant approach was to use Generalized Linear Models.
A'yunin Sofro +2 more
doaj +1 more source
A fractional counting process and its connection with the Poisson process [PDF]
, 2015 We consider a fractional counting process with jumps of amplitude $1,2,\ldots,k$, with $k\in \mathbb{N}$, whose probabilities satisfy a suitable system of fractional difference-differential equations.
A. Crescenzo +2 more
semanticscholar +1 more source
A New Estimator Based on Likelihood Function for Drift Time of Change in Poisson Rate Parameter [PDF]
International Journal of Research in Industrial Engineering, 2014 Although a control chart can signal an out-of-control state in a process, but it does not always indicate when the process change has begun. Identifying the real time of the change in the process, called the change point, is very important for ...
R. Hosseiny +2 more
doaj
A Generalization of the Space-Fractional Poisson Process and its Connection to some Lévy Processes [PDF]
, 2015 The space-fractional Poisson process is a time-changed homogeneous Poisson process where the time change is an independent stable subordinator. In this paper, a further generalization is discussed that preserves the Levy property.
F. Polito, E. Scalas
semanticscholar +1 more source
On a spike train probability model with interacting neural units
Mathematical Biosciences and Engineering, 2013 We investigate an extension of the spike train stochastic model based on the conditionalintensity, in which the recovery function includes an interaction between several excitatoryneural units.
Antonio Di Crescenzo +2 more
doaj +1 more source
The two-parameter Poisson--Dirichlet point process [PDF]
, 2009 The two-parameter Poisson--Dirichlet distribution is a probability distribution on the totality of positive decreasing sequences with sum 1 and hence considered to govern masses of a random discrete distribution.
Handa, Kenji
core +1 more source
Coverage Analysis of a Vehicular Network Modeled as Cox Process Driven by Poisson Line Process [PDF]
IEEE Transactions on Wireless Communications, 2017 In this paper, we consider a vehicular network in which the wireless nodes are located on a system of roads. We model the roadways, which are predominantly straight and randomly oriented, by a Poisson line process (PLP) and the locations of nodes on each
Vishnu Vardhan Chetlur +1 more
semanticscholar +1 more source
Journal of Agricultural and Resource Economics, 2007 This paper investigates the impact of including the risk of fire in an optimal tree harvesting model at the stand level, assuming timber prices follow a mean-reverting stochastic process.
Margaret Insley, Manle Lei
doaj +1 more source
Correlated fractional counting processes on a finite time interval [PDF]
, 2014 We present some correlated fractional counting processes on a finite time interval. This will be done by considering a slight generalization of the processes in Borges et al. (2012).
Beghin, Luisa +2 more
core +1 more source