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Ensemble Fondamental: Events Space
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Related lectures (29)
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Protein Mass Spectrometry and Proteomics: Randomization Overview
Explores the significance of randomization in protein mass spectrometry and proteomics, highlighting its role in minimizing bias and ensuring research validity.
Untitled
Experimental Design: Replication, Randomization, Blocking
Delves into experimental design in genomics, emphasizing replication, randomization, and blocking for reducing bias and controlling variation.
Random Variables: Introduction and Bernoulli Trials
Introduces random variables, approximation, convergence, and Bernoulli trials in statistics.
Assessing Market Regulation
Explores the assessment of market regulation, focusing on high-frequency trading and the impact of regulatory changes on liquidity and market quality.
Probability Basics: Theory and Applications
Covers basic probability theory, conditional probability, independence, and Bayes' Theorem.
Expectation Properties: Linearity, Inclusion-Exclusion Formula
Covers the properties of expectation and examples of calculating expectations for random variables.
Estimating R: Theory of Poisson Processes
Covers the theory of Poisson processes and the estimation of the intensity parameter R.
Conditional Probability
Covers conditional probability, probability distributions, and choosing the right distribution for specific scenarios.
