Probability & Stochastic Processes

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Related lectures (32)

Elements of Statistics: Probability and Random Variables Log in to Mediaspace to watch this video

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Markov Chain Monte Carlo: Rejection Sampling Log in to Mediaspace to watch this video

Explores rejection sampling for generating sample values from a target distribution, along with Bayesian inference using MCMC.

Normal Distribution: Characteristics and Examples Log in to Mediaspace to watch this video

Covers the characteristics and importance of the normal distribution, including examples and treatment scenarios.

Statistical Theory: Fundamentals Log in to Mediaspace to watch this video

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Probability and Statistics Log in to Mediaspace to watch this video

Explores joint random variables, conditional density, and independence in probability and statistics.

Probability Distributions: Central Limit Theorem and Applications Log in to Mediaspace to watch this video

Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.

Elements of Statistics Log in to Mediaspace to watch this video

Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.

Normal Distribution: Characteristics and Z-scores Log in to Mediaspace to watch this video

Explores normal distribution characteristics, Z-scores, probability in inferential statistics, sample effects, and binomial distribution approximation.

Probability Theory: Random Variables and Independence Log in to Mediaspace to watch this video

Explores discrete and continuous random variables, independence, and probability functions.

Discrete Random Variables: Functions and Distributions Log in to Mediaspace to watch this video

Introduces probability mass functions for discrete random variables and various distributions, emphasizing the calculation of expectations.

Bellman-Ford Algorithm: Shortest Path Log in to Mediaspace to watch this video

Provides an example of the Bellman-Ford algorithm for finding the shortest path in a graph.

Bellman Ford: Shortest Paths Log in to Mediaspace to watch this video

Introduces the Bellman-Ford algorithm for finding shortest paths in directed graphs with edge weights.

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