26:54
Two Queues with Non-Stochastic Arrivals
23:11
Markov's Inequality, Chebychev's Inequality and the Weak Law of Large Numbers
35:37
Counting Principles -- Further Examples
26:17
Normal Distribution and The Central Limit Theorem (Part 2)
23:47
Normal Distribution and The Central Limit Theorem (Part 1)
30:33
Normal Distribution and The Central Limit Theorem (Part 3)
14:22
Counting in Probability - Stirling's Approximation (Part 4)
29:36
Continuous Probability Distributions
32:49
Discrete Probability Distributions (Poisson) (Part 3)
27:31
Discrete Probability Distributions (Geometric) (Part 2)
30:07
Discrete Probability Distributions (Part 1)
17:38
Variance of a Random Variable
15:00
Random Variables
25:45
Expectation of Random Variables
25:19
Conditional Probabilities
29:43
Independence and Conditional Probabilities
16:32
Classical Statistics and Bayesian Statistics (the rough idea)
16:48
Probabilities for Operations on Sets
23:26
Set Operations and Logical Expressions
09:41
Rules for Set Operations
14:00
Set Operations for Probability
24:39
Counting Principles -- A Few Examples
08:51
Counting Principle Examples - Binomial coefficients, polynomials and Pascal's triangle
20:55
Counting Principle Examples -- 2 Aces
28:29
Counting in Probability (Part 2)
16:32
Counting in Probability (Part 3)
35:12
Counting in Probability (Part 1)
37:12
Probability -- Part 2 -- Definitions and Terminology
21:38
Introduction to Probability -- Part 1 -- What is probability?
25:03
More Merton Portfolio Optimization (Part 2 of 2)
25:12
More Merton Portfolio Optimization (Part 1 of 2)
14:24
Merton Portfolio Optimization (2nd Part)
56:56
Merton Portfolio Optimization
36:00
Diffusion Control
29:30
Stochastic Integration -- A Heuristic View
24:48
Continuous Time Control -- Linear-Quadratic Regularization
35:54
Continuous Time Dynamic Programming -- The Hamilton-Jacobi-Bellman Equation
18:50
Optimal Stopping -- Infinite Time
18:39
Optimal Stopping -- Random Walk Example
36:49
Optimal Stopping -- The Secretary Problem
19:29
Optimal Stopping -- Parking Example
27:57
Optimal Stopping
39:21
Algorithms for MDPs -- Value Iteration (Part 2 of 3)
50:47
Algorithms for MDPs -- Policy Iteration (Part 3 of 3)
26:55
Example of an infinite time MDP
35:53
Infinite Time Horizon (Part 2 of 2)
17:04
Algorithms for MDPs (Part 1 of 3)
37:49
Infinite Time Horizon (Part 1 of 2)
49:59
Two Markov Decision Problems
24:47
Markov Decision Processes (Part 2 of 2)
37:40
Markov Chains (Part 2 of 2)
17:52
Markov Decision Processes (Part 1 of 2)
16:52
Markov Chains (Part 1 of 2)
25:37
Dynamic Programming (Part 3)
12:57
Dynamic Programming (Part 2)
15:45
Dynamic Programming (Part 1)
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