A new unbiased stochastic derivative estimator for discontinuous sample performances with structural parameters
Year of publication: |
March-April 2018
|
---|---|
Authors: | Peng, Yijie ; Fu, Michael ; Hu, Jian-Qiang ; Heidergott, Bernd |
Published in: |
Operations research. - Catonsville, MD : INFORMS, ISSN 0030-364X, ZDB-ID 123389-0. - Vol. 66.2018, 2, p. 487-499
|
Subject: | simulation | stochastic derivative estimation | discontinuous sample performance | likelihood ratio | perturbation analysis | weak derivative | Derivat | Derivative | Stochastischer Prozess | Stochastic process | Schätztheorie | Estimation theory | Stichprobenerhebung | Sampling | Simulation | Monte-Carlo-Simulation | Monte Carlo simulation |
-
On the variance of single-run unbiased stochastic derivative estimators
Cui, Zhenyu, (2020)
-
Nearly exact option price simulation using characteristic functions
Bernard, Carole, (2012)
-
Valuation of options on discretely sampled variance : a general analytic approximation
Drimus, Gabriel, (2016)
- More ...
-
Dynamic sampling allocation and design selection
Peng, Yijie, (2016)
-
On the variance of single-run unbiased stochastic derivative estimators
Cui, Zhenyu, (2020)
-
Technical note: central limit theorems for estimated functions at estimated points
Glynn, Peter W., (2020)
- More ...