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Bernoulli trial
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Related lectures (30)
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Confidence Intervals: Student, Asymptotic Wald
Covers confidence intervals for Gaussian means, Student distribution, and Wald confidence intervals for maximum likelihood estimators.
Infinite Coin Tosses: Independence
Explores independence in infinite coin tosses, covering sets, shifts, and T-invariance.
Random Variables and Expected Value
Introduces random variables, probability distributions, and expected values through practical examples.
Advanced Probabilities: Random Variables & Expected Values
Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.
Maximum Likelihood Estimation: Theory and Examples
Covers maximum likelihood estimation, including the Rao-Blackwell Theorem proof and practical examples of deriving estimators.
Probability and Statistics
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Advanced Probability
Delves into advanced probability theory, covering inequalities, trials, distributions, and calculations for probabilities and expectations.
Probability: Quiz
Covers probability scenarios and includes a quiz using Kahoot.
Sufficient Statistics: Understanding Data Compression
Explores sufficient statistics, data compression, and their role in statistical inference, with examples like Bernoulli Trials and exponential families.
Supervised Learning Fundamentals
Introduces the fundamentals of supervised learning, including loss functions and probability distributions.