A mixture model-based nonparametric approach to estimating a count distribution

DOI10.1016/j.csda.2016.11.012zbMath1466.62041OpenAlexW2554349156MaRDI QIDQ1658432

Publication date: 14 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2016.11.012

zbMATH Keywords

count data Poisson mixture model power divergence family nonparametric minimum power divergence estimation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

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The power divergence and the density power divergence families: the mathematical connection
The robust estimation method for a finite mixture of Poisson mixed-effect models
The minimum \(L_{2}\) distance estimator for Poisson mixture models
Discrete associated kernels method and extensions
\(L_{2}E\) estimation of mixture complexity for count data
Robust estimation of mixture complexity for count data
Minimum disparity computation via the iteratively reweighted least integrated squares algorithms
Smallest point of a polytope
Consistent estimation of a mixing distribution
Maximum likelihood estimation of a compound Poisson process
Minimum Hellinger distance estimation for Poisson mixtures.
Efficiency versus robustness: The case for minimum Hellinger distance and related methods
Modelling of count data using nonparametric mixtures
Partially projected gradient algorithms for computing nonparametric maximum likelihood estimates of mixing distributions
Minimum Hellinger Distance Estimation for Finite Mixtures of Poisson Regression Models and Its Applications
Statistical analysis of finite mixture distributions
Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
Robust and efficient estimation by minimising a density power divergence
Finite mixture models
Density estimation using non-parametric and semi-parametric mixtures
The Support Reduction Algorithm for Computing Non‐Parametric Function Estimates in Mixture Models
On Fast Computation of the Non-Parametric Maximum Likelihood Estimate of a Mixing Distribution
Asymptotic Normality in Mixtures of Power Series Distributions
A negative binomial model with varying element sizes
Statistical Inference
Robust inference for finite Poisson mixtures

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