Artikel
Open Access
On the boundary properties of Bernstein estimators on the simplex
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Frédéric Ouimet
Veröffentlicht/Copyright:
31. Dezember 2022
Received: 2022-07-06
Accepted: 2022-10-25
Published Online: 2022-12-31
Published in Print: 2022-01-01
© 2022 Frédéric Ouimet, published by De Gruyter
Artikel in diesem Heft
- Efficient Generalized Ridge Regression
- Clustered Autoencoded Variational Inverse Reinforcement Learning
- Initial data analysis: A new technology not yet ready to use
- On the boundary properties of Bernstein estimators on the simplex
- Fully Nonparametric Methods for Multivariate Data in Factorial Designs. Asymptotics, Finite Sample Approximations, and Implementation in R
Schlagwörter für diesen Artikel
asymptotic statistics;
Bernstein estimators;
simplex;
multinomial distribution;
nonparametric estimation;
density estimation;
cumulative distribution function estimation;
boundary bias;
variance;
mean squared error
Creative Commons
BY 4.0
Artikel in diesem Heft
- Efficient Generalized Ridge Regression
- Clustered Autoencoded Variational Inverse Reinforcement Learning
- Initial data analysis: A new technology not yet ready to use
- On the boundary properties of Bernstein estimators on the simplex
- Fully Nonparametric Methods for Multivariate Data in Factorial Designs. Asymptotics, Finite Sample Approximations, and Implementation in R
