Semimartingale: Joint Variation Process

Related lectures (32)

Page 2 of 4

Explores polynomial operations, properties, and subspaces in vector spaces.

Explores digital derivation, function evaluation, and polynomial approximations for accurate measurements and evaluations.

Covers Stochastic Calculus, focusing on Itô's Formula, Stochastic Differential Equations, martingale properties, and option pricing.

Explores complex roots, conjugate pairs, and quadratic equations solving strategies.

Explains how to find particular solutions for first-order differential equations using different types of functions.

Covers differentiable functions, extreme points, and the Lagrange multiplier method for optimization.

Introduces the basics of polynomials on a field, focusing on definitions, operations, and properties.

Explores Bezier curves, emphasizing control points and curve regularity.

Covers the basics of polynomials, focusing on rings, operations, and properties.

Explores the process of division euclidienne in polynomials, emphasizing the importance of polynomial degrees during operations.