Results 31 to 40 of about 4,616,379 (323)
Estimation in Poisson Noise: Properties of the Conditional Mean Estimator [PDF]
IEEE Transactions on Information Theory, 2019 This paper considers estimation of a random variable in Poisson noise with signal scaling coefficient and dark current as explicit parameters of the noise model.
Alex R. Dytso, H. V. Poor
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Bayesian Prediction of the First Order Statistics from Frecht Distribution When Sample Size is a Random Variable (A Numerical Investigation) [PDF]
The Egyptian Statistical Journal, 2000 This paper considers Bayesian prediction of order statistics when the sample size of the future sample is a random variable. It has been shown (see Lingappaiah (1986)) that this situation arises in the field as Biology Agriculture and in Quality Control.
Samir Ashour
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Strong averaging principle for slow-fast SPDEs with Poisson random measures
, 2015 This work concerns the problem associated with an averaging principle for two-time-scales stochastic partial differential equations (SPDEs) driven by cylindrical Wiener processes and Poisson random measures.
Jie Xu, Y. Miao, Ji-Cheng Liu
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Magnetic Resonance in Medicine, 2016 To enable robust, high spatio‐temporal‐resolution three‐dimensional Cartesian MRI using a scheme incorporating a novel variable density random k‐space sampling trajectory allowing flexible and retrospective selection of the temporal footprint with ...
Evan Levine +4 more
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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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POISSON APPROXIMATION FOR RANDOM SUMS OF GEOMETRIC RANDOM VARIABLES [PDF]
International Journal of Pure and Apllied Mathematics, 2013 In this paper, we determine bounds with different Poisson mean for the total variation distance between the distribution of random sums of in- dependent geometric random variables and an appropriate Poisson distribution. Two examples have been given to illustrate the results obtained.
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Poisson approximation for independent geometric random variables [PDF]
International Mathematical Forum, 2007 The Stein-Chen method is used to derive two formulas of uniform and non-uniform bounds on Poisson approximation for a sum of n independent geometric random variables. Application of these formulas is illustrated with the Poisson approximation to the negative binomial distribution.
K. Teerapabolarn, P. Wongkasem
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, 2020 Description of environmental variables used in this study, variable selection based on random forest and results of quasi-Poisson-GLMs and Gaussian ...
Sandra Weithmann (8477262) +4 more
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In-Scene Calibration of Poisson Noise Parameters for Phase Image Recovery
IEEE Open Journal of Signal ProcessingIn sensor metrology, noise parameters governing the stochastic nature of photon detectors play critical role in characterizing the aleatoric uncertainty of computational imaging systems such as indirect time-of-flight cameras, structured light imaging ...
Achour Idoughi +5 more
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Weighted Naive Bayes Text Classification Algorithm Based on Poisson Distribution [PDF]
Jisuanji gongcheng, 2020 Naive Bayes(NB) algorithm is simple and efficient when applied to text classification,but it has a bottleneck in accuracy due to the intrinsic assumption that attribute independence and attribute importance are consistent.To solve this problem,this paper
ZHAO Bowen, WANG Lingjiao, GUO Hua
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