Motivating Mathematical Concepts through Problems
Stagione 1
di Roland S McIntire
Examines what Modern Conditional Expectation means in a discrete setting.
Discusses the fundamental notion of a derivative and its extensions.
We motivate Lebesgue Measure theory.
We prove a theorem related to primitive Pythagorean Primes as well as present a few conjectures.
Derives a formula for the probability density of a singular transformation of a random variable.
Derives Diversification Constraints for Convex Optimization.
Presents the Discrete and Continuous Calculus: The Essentials.
Examines Lesbesgue Measure theoretic Conditional Expectation in a Discrete Setting.
A number of formulas for weighted exponential moving averages and their moments.
Explains the formula for the determinant of a matrix.