Covariance: Statistical Dependence

Related lectures (25)

Page 2 of 3

Covers orthogonality, scalar products, orthogonal bases, and vector projection in detail.

Explores vector spaces, linear independence, and spanning sets in linear algebra.

Covers vector spaces, subspaces, kernel, image, linear independence, and bases in linear algebra.

Explains the concept of least squares solutions and their application in finding the closest solution to a system of equations.

Explains linear independence, bases, and dimension in vector spaces, including the importance of the order of vectors in a basis.

Explores linear independence in vector spaces and the concept of bases.

Covers the definition and use of coordinate systems and applications in bases and linear equations.

Covers singular vectors in Liouville CFT, focusing on representation theory and their implications in mathematical physics.

Explores finding particular solutions for homogeneous differential equations, emphasizing linear independence and variation of constants.

Covers linear independence, bases, and coordinate systems with examples and theorems.