|
Simulation of Poisson and compound Poisson processes. Simulation of subordinated Brownian motion and non-Gaussian Ornstein-Uhlenbeck processes.
|
|
Examples: simulation from the multidimensional Gaussian law. Cholesky decomposition, PCA. Examples: generation of the skeleton of the multidimensional Brownian motion and the Ornstein-Uhlenbeck…
|
|
Brownian motion. Nondifferentiability of paths. The stochastic integral and the Ito isometry.
|
|
* General conditions of weak convergence - Convergence of sums - Multiplicative scheme* Monotonicity along the diagonal of a triangular matrix in the Cholesky decomposition of a positive definite…
|
|
1. Cox-Ingersoll-Ross equations with fBm. 2. Equations with unbounded drift. 3. Reflected Ornstein-Uhlenbeck equations.
|
|
1. Integration with respect to fBm. 2. Elements of fractional and fractional stochastic calculus. 3. Stochastic differential equations with fBm and smooth coefficients.
|
|
The martingale representation theorem in the case of a multidimensional Brownian motion: representation of L^2 martingales and local martingales.
|
|
The Girsanov theorem in the multidimensional case. Novikov's condition.
|
|
Stochastic integral of complex-valued processes. Levy's characterization of a multidimensional Brownian motion.
|
|
A note on the integrability in the Ito-Doeblin formula. The two-dimensional case.
|
|
Cross-variation: definition. Cross-variation of independent and correlated Brownian motions.
|
|
The Cholesky decomposition
|
|
Definitions of multidimensional standard and correlated Brownian motions: correlation matrix.
|
|
Levy's characterization of Brownian motion. Drift transformation in the Brownian motion and the Girsanov theorem. The martingale representation theorem. Representation of densities of…
|
|
Stochastic integral with respect to an Ito process. The Ito-Doeblin formula. Quadratic variation of an Ito process.
|
|
Stochastic integrals of simple processes. Stochastic integral of Brownian motion.
|