Artikel
Öffentlich zugänglich
Frontmatter
Veröffentlicht/Copyright:
1. März 2022
Published Online: 2022-03-01
Published in Print: 2022-03-01
© 2022 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- A study of highly efficient stochastic sequences for multidimensional sensitivity analysis
- A note on the asymptotic stability of the semi-discrete method for stochastic differential equations
- Estimation of steady-state quantities of an HMM with some rarely generated emissions
- Recursive regression estimation based on the two-time-scale stochastic approximation method and Bernstein polynomials
- Unbiased estimation of the gradient of the log-likelihood for a class of continuous-time state-space models
- Simulation of Gaussian random field in a ball
Artikel in diesem Heft
- Frontmatter
- A study of highly efficient stochastic sequences for multidimensional sensitivity analysis
- A note on the asymptotic stability of the semi-discrete method for stochastic differential equations
- Estimation of steady-state quantities of an HMM with some rarely generated emissions
- Recursive regression estimation based on the two-time-scale stochastic approximation method and Bernstein polynomials
- Unbiased estimation of the gradient of the log-likelihood for a class of continuous-time state-space models
- Simulation of Gaussian random field in a ball
