Probability space

Related lectures (29)

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

Covers the verification of N-qubit Hamiltonians using quantum computing techniques.

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

Covers properties and calculations related to the normal distribution, including probabilities and quantiles.

Introduces probability distributions, uniform distribution, probabilities of events, complements, unions, and disjoint events.

Covers basic probability theory, conditional probability, independence, and Bayes' Theorem.

Explores the Law of Total Probability and its applications in real-world scenarios, introducing key concepts in probability theory.

Explores risk evaluation, equivalent value, and insurance premium in lotteries, as well as discount rate adjustments.

Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.