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Probability Model Construction
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Related lectures (28)
Sampling a Probability Distribution
Explores sampling a probability distribution and structure functions in statistical analysis.
Probability and Statistics: Independence and Conditional Probability
Explores independence and conditional probability in probability and statistics, with examples illustrating the concepts and practical applications.
Sampling strategies
Explores research process, variable types, causality vs correlation, and sampling strategies.
Elements of Statistics: Probability and Random Variables
Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.
Statistical Measures: Mean, Median, and Dispersion Techniques
Discusses statistical measures of central tendency and dispersion, focusing on mean, median, and their implications in data analysis.
Probability and Statistics: Fundamental Theorems
Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.
Density of States and Bayesian Inference in Computational Mathematics
Explores computing density of states and Bayesian inference using importance sampling, showcasing lower variance and parallelizability of the proposed method.
Estimation Methods in Probability and Statistics
Discusses estimation methods in probability and statistics, focusing on maximum likelihood estimation and confidence intervals.
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