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Related lectures (28)
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Random Variables and Expected Value
Introduces random variables, probability distributions, and expected values through practical examples.
Maximum Entropy Modeling: Applications & Inference
Explores maximum entropy modeling applications in neuroscience and protein sequence data.
Advanced Probability
Delves into advanced probability theory, covering inequalities, trials, distributions, and calculations for probabilities and expectations.
Sufficient Statistics: Understanding Data Compression
Explores sufficient statistics, data compression, and their role in statistical inference, with examples like Bernoulli Trials and exponential families.
Advanced Probability: Probability Concepts and Applications
Explores advanced probability concepts, independence of events, expected value theorem, and inversions in permutations.
Variance: Independent Random Variables and Bernoulli Trials
Explores Bienaymé's Formula for independent random variables and variance in Bernoulli trials.
Random Variables: Introduction and Bernoulli Trials
Introduces random variables, approximation, convergence, and Bernoulli trials in statistics.
Probability: Quiz
Covers probability scenarios and includes a quiz using Kahoot.