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Poisson Sigma Model on the Sphere [PDF]
Communications in Mathematical Physics, 2008 38 ...
Bonechi, Francesco, Zabzine, Maxim
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MODEL EKSPONENSIAL GANDA PADA PROSES STOKASTIK (STUDI KASUS DI STASIUN PURWOSARI)
Media Statistika, 2015 In general, mathematical modeling is divided into two, namely the model of deterministic and stochastic models. On stochastic modeling involves several processes among them are the Poisson process, the process of Bernoulli, Gaussian processes, the ...
Sugito Sugito, Yuciana Wilandari
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Congestion probabilities in CDMA-based networks supporting batched Poisson traffic [PDF]
, 2014 We propose a new multirate teletraffic loss model for the calculation of time and call\ud congestion probabilities in CDMA-based networks that accommodate calls of different serviceclasses\ud whose arrival follows a batched Poisson process. The latter is
Moscholios, Ioannis +6 more
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The Poisson Maximum Entropy Model for Homogeneous Poisson Processes
Communications in Statistics - Simulation and Computation, 2016 Our main interest is parameter estimation using maximum entropy methods in the prediction of future events for Homogeneous Poisson Processes when the distribution governing the distribution of the parameters is unknown. We intend to use empirical Bayes techniques and the maximum entropy principle to model the prior information.
Lotfi Khribi +2 more
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Jurnal Diferensial, 2020 terbaik dan faktor-faktor yang mempengaruhi angka kematian ibu akibat melahirkan. Regresi Poisson merupakan salah satu regresi nonlinier yang sering digunakan untuk memodelkan hubungan antara variabel respon yang berupa data diskrit dengan variabel ...
Katarina J.V. Nggonde
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Intensity estimation of non-homogeneous Poisson processes from shifted trajectories [PDF]
, 2013 In this paper, we consider the problem of estimating nonparametrically a mean pattern intensity λ from the observation of n independent and non-homogeneous Poisson processes N1,…,Nn on the interval [0,1].
Marteau, Clément +3 more
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Consistency and asymptotic normality of the maximum likelihood estimator in a zero-inflated generalized Poisson regression [PDF]
, 2005 Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur.
Min, Aleksey, Czado, Claudia
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A Random-Effects Log-Linear Model with Poisson Distributions
Revstat Statistical Journal, 2003 In several applications data are grouped and there are within-group correlations. With continuous data, there are several available models that are often used; with counting data, the Poisson distribution is the natural choice. In this paper a mixed log-
Maria Alexandra Seco, António St. Aubyn
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Optimal Poisson Cognitive System with Markov Learning Model
Открытое образование (Москва), 2021 The aim of the study is to develop a mathematical model of the trained Markov cognitive system in the presence of discrete training and interfering random stimuli arising at random times at its input.
A. A. Solodov
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Twisted Poincare duality for some quadratic Poisson algebras [PDF]
, 2007 We exhibit a Poisson module restoring a twisted Poincaré duality between Poisson homology and cohomology for the polynomial algebra R=C[X1Xn] endowed with Poisson bracket arising from a uniparametrised quantum affine space.
Stéphane Launois +3 more
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