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Covid-19 Data Analysis in Tarakan with Poisson Regression and Spatial Poisson Process
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
Cotangent models for integrable systems [PDF]
We associate cotangent models to a neighbourhood of a Liouville torus in symplectic and Poisson manifolds focusing on a special class called $b$-Poisson/$b$-symplectic manifolds.
Kiesenhofer, Anna, Miranda, Eva
core +6 more sources
MODEL EKSPONENSIAL GANDA PADA PROSES STOKASTIK (STUDI KASUS DI STASIUN PURWOSARI)
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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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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A Flexible Mixed Model for Clustered Count Data
Clustered count data are commonly modeled using Poisson regression with random effects to account for the correlation induced by clustering. The Poisson mixed model allows for overdispersion via the nature of the within-cluster correlation, however ...
Darcy Steeg Morris, Kimberly F. Sellers
doaj +1 more source
Deformation Quantization and Reduction [PDF]
This note is an overview of the Poisson sigma model (PSM) and its applications in deformation quantization. Reduction of coisotropic and pre-Poisson submanifolds, their appearance as branes of the PSM, quantization in terms of L-infinity and A-infinity ...
Cattaneo, Alberto S.
core +3 more sources
Extended Truncated Tweedie-Poisson Model [PDF]
It has been argued that by truncating the sample space of the negative binomial and of the inverse Gaussian-Poisson mixture models at zero, one is allowed to extend the parameter space of the model. Here that is proved to be the case for the more general three parameter Tweedie-Poisson mixture model.
Valero, Jordi +2 more
openaire +3 more sources
Modeling stand mortality using Poisson mixture models with mixed-effects
Stand mortality models play an important role in simulating stand dynamic processes. Periodic stand mortality data from permanent plots tend to be dispersed, and frequently contain an excess of zero counts. Such data have commonly been analyzed using the
Zhang X-Q, Lei Y-C, Liu X-Z
doaj +1 more source
Optimal Poisson Cognitive System with Markov Learning Model
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
doaj +1 more source
The non-relativistic limit of the Nordstr\"om-Vlasov system [PDF]
The Nordstr\"om-Vlasov system provides an interesting relativistic generalization of the Vlasov-Poisson system in the gravitational case, even though there is no direct physical application.
Calogero, Simone, Lee, Hayoung
core +4 more sources

