Abstract
The iterative simulation of the Brownian bridge is well known. In this article, we present a vectorial simulation alternative based on Gaussian processes for machine learning regression that is suitable for interpreted programming languages implementations. We extend the vectorial simulation of path-dependent trajectories to other Gaussian processes, namely, sequences of Brownian bridges, geometric Brownian motion, fractional Brownian motion, and Ornstein-Ulenbeck mean reversion process.
Original language | English |
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Pages (from-to) | 2608-2621 |
Number of pages | 14 |
Journal | Communications in Statistics: Simulation and Computation |
Volume | 44 |
Issue number | 10 |
DOIs | |
Publication status | Published - Nov 2015 |
Keywords
- Brownian bridge
- Gaussian processes for machine learning regression
- Path-dependent Gaussian processes
- Vectorial simulation