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A Localization Tale: Practical Course by BIOP
Covers practical aspects of using Fiji for everyday tasks in biological imaging.
Signal Processing Fundamentals
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Complex Systems: Epidemics
Delves into complex systems, strange attractors, and epidemics, emphasizing the influence of psychological factors and the role of contagion.
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.
Correlation Functions in Loop Models: Structural Assumptions
Covers correlation functions in loop models and the role of degenerate fields in conformal field theory.
Dependence Measures: Rank Correlations
Covers rank correlations, tail dependence, and copula fitting methods.
Errors in Sampling: Correlation and Time Analysis
Explores errors in sampling, correlation functions, time analysis, and blocking techniques.
Variable Selection Methods: Filtering and Correlation
Explores variable selection through filtering and correlation methods in machine learning, emphasizing relevance quantification and relationship measurement with the label.
Quantifying Statistical Dependence: Covariance and Correlation
Explores covariance, correlation, and mutual information in quantifying statistical dependence between random variables.