Completely monotone distributions: mixing, approximation and estimation of number of species
From MaRDI portal
Publication:2189623
DOI10.1016/j.csda.2020.107014OpenAlexW3028266619MaRDI QIDQ2189623
Yulia Kulagina, Fadoua Balabdaoui
Publication date: 16 June 2020
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2020.107014
asymptotic theorycompletely monotonemixture modelnonparametric estimationspecies richnessgeometric\(k\)-monotonepmf
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On Multiply Monotone Distributions, Continuous or Discrete, with Applications
- Global rates of convergence of the MLEs of log-concave and \(s\)-concave densities
- Estimation of a discrete probability under constraint of \(k\)-monotonicity
- Bi-log-concave distribution functions
- On asymptotics of the discrete convex LSE of a p.m.f.
- Estimating a probability mass function with unknown labels
- Estimating the number of classes
- The geometry of mixture likelihoods: A general theory
- Least-squares estimation of a convex discrete distribution
- Testing convexity of a discrete distribution
- Nonparametric estimation of species richness using discrete \(k\)-monotone distributions
- Testing \(k\)-monotonicity of a discrete distribution. Application to the estimation of the number of classes in a population
- Estimation of a convex function: Characterizations and asymptotic theory.
- Estimation of a discrete monotone distribution
- Multiple monotonicity of discrete distributions: the case of the Poisson model
- Least squares estimation of a completely monotone pmf: from analysis to statistics
- Estimation of a \(k\)-monotone density: limit distribution theory and the spline connection
- Entropic representation and estimation of diversity indices
- Statistical Implications of Turing's Formula
- Estimating the Number of Species in a Stochastic Abundance Model
- Asymptotic Statistics
- Maximum Likelihood Estimation of a Multi-Dimensional Log-Concave Density
- Estimation of population size in entropic perspective
- Equivalence of Truncated Count Mixture Distributions and Mixtures of Truncated Count Distributions
- 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
- Computing maximum likelihood estimators of a log-concave density function
- Note on Completely Monotone Densities
- Some Results for Discrete Unimodality
- Estimating the Size of a Multinomial Population
- Maximum likelihood estimation of a unimodal probability mass function
- Asymptotics of the Discrete Log-Concave Maximum Likelihood Estimator and Related Applications
- A Penalized Nonparametric Maximum Likelihood Approach to Species Richness Estimation
- THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS
- Word frequency distributions
This page was built for publication: Completely monotone distributions: mixing, approximation and estimation of number of species
