Empirical density estimation based on spline quasi-interpolation with applications to copulas clustering modeling
From MaRDI portal
Publication:6591514
DOI10.1016/J.CAM.2024.116131MaRDI QIDQ6591514
Cristiano Tamborrino, Francesca Mazzia, Antonella Falini
Publication date: 22 August 2024
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Numerical approximation and computational geometry (primarily algorithms) (65Dxx) Nonparametric inference (62Gxx) Probabilistic methods, stochastic differential equations (65Cxx)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- An introduction to copulas.
- The BS class of Hermite spline quasi-interpolants on nonuniform knot distributions
- Local spline approximation methods
- Spline approximation by quasiinterpolants
- On spline quasi-interpolation through dimensions
- A classification EM algorithm for clustering and two stochastic versions
- On stochastic versions of the EM algorithm
- Some examples of quasi-interpolants constructed from local spline projectors
- Maximum likelihood estimation via the ECM algorithm: A general framework
- Dependence Modeling with Copulas
- Remarks on Some Nonparametric Estimates of a Density Function
- Mixture Densities, Maximum Likelihood and the EM Algorithm
- The Calculation of Posterior Distributions by Data Augmentation
- Nonparametric probability density estimation using normalized b–splines
- Convergence Rates for Uniform B-Spline Density Estimators Part I: One Dimension
- Stochastic versions of the em algorithm: an experimental study in the mixture case
- Finite mixture models
- Function estimation using partitions of unity
- A semiparametric estimation procedure of dependence parameters in multivariate families of distributions
- Breast Cancer Diagnosis and Prognosis Via Linear Programming
- Some New Estimates for Distribution Functions
- On the Distribution of the Two-Sample Cramer-von Mises Criterion
- The Kolmogorov-Smirnov Test for Goodness of Fit
- Spline based Hermite quasi-interpolation for univariate time series
- Spline local basis methods for nonparametric density estimation
This page was built for publication: Empirical density estimation based on spline quasi-interpolation with applications to copulas clustering modeling
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6591514)