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Bayesian Approaches for Poisson Distribution Parameter Estimation
The Bayesian approach, a non-classical estimation technique, is very widely used in statistical inference for real world situations. The parameter is considered to be a random variable, and knowledge of the prior distribution is used to update the ...
Yadpirun Supharakonsakun
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Learning poisson binomial distributions [PDF]
Revised full version. Improved sample complexity bound of O~(1/eps^2)
Daskalakis, Constantinos +2 more
openaire +8 more sources
Poisson convergence on the free Poisson algebra
Based on recent findings by Bourguin and Peccati, we give a fourth moment type condition for an element of a free Poisson chaos of arbitrary order to converge to a free (centered) Poisson distribution.
Bourguin, Solesne
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Nyquist method for Wigner-Poisson quantum plasmas [PDF]
By means of the Nyquist method, we investigate the linear stability of electrostatic waves in homogeneous equilibria of quantum plasmas described by the Wigner-Poisson system.
B. Shokri +23 more
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POISSON REGRESSION MODELING GENERALIZED IN MATERNAL MORTALITY CASES IN ACEH TAMIANG REGENCY
Maternal Mortality Rate (MMR) is the number of maternal deaths due to the process of pregnancy, childbirth, and postpartum which is used as an indicator of women's health degrees.
Riska Novita Sari +2 more
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Let $X_1,X_2,...,X_n$ be a sequence of independent or locally dependent random variables taking values in $\mathbb{Z}_+$. In this paper, we derive sharp bounds, via a new probabilistic method, for the total variation distance between the distribution of ...
Boutsikas, Michael V. +1 more
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On the One dimensional Poisson Random Geometric Graph [PDF]
Given a Poisson process on a bounded interval, its random geometric graph is the graph whose vertices are the points of the Poisson process and edges exist between two points if and only if their distance is less than a fixed given threshold.
Decreusefond, Laurent, Ferraz, Eduardo
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The implementation of emission-computed tomography (ECT), including positron emission tomography and single-photon emission-computed tomography, has been an important research topic in recent years and is of significant and practical importance. However,
Abdelwahhab Boudjelal +3 more
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The Poisson-generalised Lindley distribution and its applications [PDF]
The Poisson distribution plays important role in count data analysis. However, the Poisson distribution cannot model some data with over-dispersion because of its property, equi-dispersion.
Weerinrada Wongrin, Winai Bodhisuwan
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POISSON REGRESSION MODELLING OF AUTOMOBILE INSURANCE USING R
Automobile insurance benefits are protecting the vehicle and minimizing customer losses. Insurance companies must provide funds to pay customer claims if a claim occurs. Insurance claims can be modelled by Poisson regression.
Sandy Vantika +2 more
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