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Complex Systems: Epidemics
Delves into complex systems, strange attractors, and epidemics, emphasizing the influence of psychological factors and the role of contagion.
Signal Processing Fundamentals
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Dependence Measures: Rank Correlations
Covers rank correlations, tail dependence, and copula fitting methods.
High-order Correlations in Massive Datasets
Delves into high-order correlations in massive datasets and their importance.
Causal Systems & Transforms: Delay Operator Interpretation
Covers z Variable as a Delay Operator, realizable systems, probability theory, stochastic processes, and Hilbert Spaces.
Copulas: Dependence Structures and Simulation
Covers copulas, dependence structures, simulation techniques, and properties of copula densities.
Correlation Functions in Loop Models: Structural Assumptions
Covers correlation functions in loop models and the role of degenerate fields in conformal field theory.
Dependence and Correlation
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Errors in Correlated Sampling
Explains errors in correlated and uncorrelated sampling, correlation function, time, and blocking analysis.
Understanding Statistics & Experimental Design
Covers basic probability theory, ANOVA, experimental design, and correlations, emphasizing the importance of planning multiple tests and power analysis.