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Veröffentlicht/Copyright:
1. März 2021
Published Online: 2021-03-01
Published in Print: 2021-03-01
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- On the dependence structure and quality of scrambled (t, m, s)-nets
- Discretization and machine learning approximation of BSDEs with a constraint on the Gains-process
- Body tail adaptive kernel density estimation for nonnegative heavy-tailed data
- Sensitivity analysis of stochastic frontier analysis models
Artikel in diesem Heft
- Frontmatter
- On the dependence structure and quality of scrambled (t, m, s)-nets
- Discretization and machine learning approximation of BSDEs with a constraint on the Gains-process
- Body tail adaptive kernel density estimation for nonnegative heavy-tailed data
- Sensitivity analysis of stochastic frontier analysis models
