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Exchangeability and Network Statistics
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Related lectures (35)
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Probability and Statistics
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Likelihood Ratio Tests: Optimality and Extensions
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Covers Likelihood Ratio Tests, their optimality, and extensions in hypothesis testing, including Wilks' Theorem and the relationship with Confidence Intervals.
Statistical analysis of network data
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Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.
Statistical Analysis of Network Data: Structures and Models
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Explores statistical analysis of network data, covering graph structures, models, statistics, and sampling methods.
Elements of Statistics: Estimation & Distributions
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Covers fundamental statistics concepts, including estimation theory, distributions, and the law of large numbers, with practical examples.
Likelihood Ratio Tests: Optimality and Applications
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Explores the theory and applications of likelihood ratio tests in statistical hypothesis testing.
Graph Statistics: Random Graphs, Graph Homomorphisms, and Network Analysis
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Explores graph statistics, random graph generation, network analysis, centrality measures, and clustering coefficients.
Extreme Value Analysis: Applications and Consequences
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Explores Stochastic Blockmodel estimation, spectral clustering, network modularity, Laplacian matrix, and k-means clustering.
Review Session: Module 1
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Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.
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