Nonparametric estimation of multivariate elliptic densities via finite mixture sieves
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Publication:391911
DOI10.1016/j.jmva.2013.08.013zbMath1360.62153OpenAlexW2105259792WikidataQ56565208 ScholiaQ56565208MaRDI QIDQ391911
Heather Battey, Oliver B. Linton
Publication date: 13 January 2014
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2013.08.013
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Exact distribution theory in statistics (62E15) Online algorithms; streaming algorithms (68W27)
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Cites Work
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- Nearest neighbor conditional estimation for Harris recurrent Markov chains
- Optimal rates of convergence for nonparametric estimators
- On the theory of elliptically contoured distributions
- Exact mean integrated squared error
- A simple general approach to inference about the tail of a distribution
- Robust tests for spherical symmetry
- Multivariate stable densities as functions of one dimensional projections
- Consistency property of elliptical probability density functions
- Necessary conditions for the CAPM
- Error bound in a central limit theorem of double-indexed permutation statistics
- Multivariate locally adaptive density estimation.
- Data mining and data visualization
- On bandwidth variation in kernel estimates. A square root law
- Rates of convergence for the Gaussian mixture sieve.
- Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities.
- Weak convergence and empirical processes. With applications to statistics
- Theoretical properties of the log-concave maximum likelihood estimator of a multidimensional density
- A semiparametric density estimator based on elliptical distributions
- On-Line Expectation–Maximization Algorithm for latent Data Models
- Scale Mixing of Symmetric Distributions with Zero Means
- Constructing Optimal tests on a Lagged dependent variable
- Elliptically Symmetric Distributions: A Review and Bibliography
- Asymptotic Statistics
- On Locally Adaptive Density Estimation
- Numerical calculation of stable densities and distribution functions
- Maximum Likelihood Estimation of a Multi-Dimensional Log-Concave Density
- The Behavior of the Stahel-Donoho Robust Multivariate Estimator
- Identifiability of Finite Mixtures of Elliptical Distributions
