Optimal quantization methods and applications to numerical problems in finance
By Gilles Pagès, Huyen Pham, Jacques Printems. 2004
173 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0b64a559d105a7bf63d19aa1b8ebee166c31d79c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Huyen Pham
- Franccois Delarue
- Stéphane Menozzi
- V. Roshan Joseph
- Simon Mak
- Jianfeng Zhang
- Adrien Richou
- Thaleia Zariphopoulou
In Statistics and Probability
Citations in the corpus
- Support points (2016, methodology): “Also known as principal points [19], mse-rep-points have been employed in a variety of statistical and engineering applications, including quantizer design [25, 53] and optimal stratified sampling [8, 7].”
- On some recent aspects of stochastic control and their applications (2005, methodology): “We refer to [ 72 ] for an account of other applications of quantization methods to numerical problems in finance.”
- A Forward-Backward Stochastic Algorithm For Quasi-Linear PDEs (2006, methodology): “For other applications of quantization, we refer to the works of Pagès, Pham and Printems [18] or Pagès and Printems [19].”
- Numerical simulation of quadratic BSDEs (2013, unknown): “Here, GM denotes the projection operator on the optimal quantization grid for the standard Gaussian distribution with M points in the support; see [26, 37] for details.”