Related lectures (51)
Price Returns Analysis
Covers the analysis of heavy-tailed price returns and clustered volatility in financial data.
Optimization in Statistics and Machine Learning: Maximum Likelihood Estimation
Explores maximum likelihood estimation, logistic regression, covariance estimation, and support vector machines for classification problems.
Marginal Models: Interpretation and Application
Explores marginal models in modern regression, emphasizing interpretation and application in statistical analysis.
Sigmoidal Units: Natural Output Functions
Delves into using sigmoidal units as natural output functions in deep learning, focusing on statistical interpretation and optimal derivation.
Qualitative Analysis of Growth Models and Gene Regulation
Explores growth models for populations and gene regulation analysis.
Dynamic Systems: Course Review
Covers dynamic systems, trajectories, growth models, stability of fixed points, and linearization of models.
Extreme Value Theory: GEV and GPD
Covers Extreme Value Theory, focusing on GEV and GPD distributions and the POT Model for threshold exceedances.
Extreme Value Theory: Limiting Distributions and Applications
Covers Extreme Value Theory, GEV distributions, GPD, and threshold exceedances.
Generalization of Martingales
Explores the generalization of Martingale Central Limit Theorem to sub- and supermartingales, discussing key properties and corollaries.
Reverberated Level: Sound Intensity and Energy Conservation
Explains energy conservation in sound waves and the calculation of sound intensity and reverberated level in a diffuse field.

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