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Related lectures (30)
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Probabilistic Models for Linear Regression
Covers the probabilistic model for linear regression and its applications in nuclear magnetic resonance and X-ray imaging.
Comparing L1 and L0 + Greedy algorithms
Compares L1 and L0 penalization in linear regression with orthogonal designs using greedy algorithms and empirical comparisons.
Supervised Learning in Financial Econometrics
Explores supervised learning in financial econometrics, covering linear regression, model fitting, potential problems, basis functions, subset selection, cross-validation, regularization, and random forests.
Generalized Linear Regression
Explores generalized linear regression, logistic regression, and multiclass classification in machine learning.
Functional Linear Regression: Sparse Estimation and Adaptive Methods
By Angelina Roche covers adaptive and sparse estimation in functional linear regression models.
Statistical Thermodynamics: Density of States
Explores density of states in statistical thermodynamics and the use of Heaviside functions for energy level probabilities.
Statistical Thermodynamics: Particles and Levels
Covers statistical thermodynamics of particles and levels, permutations, and entropy in rubber band elasticity.
Statistical Thermodynamics: Energy States and Convolution
Covers energy states and convolution in statistical thermodynamics, with an example on Benzene.
Statistical Thermodynamics: Phase Space and Probability Distributions
Covers phase space, ensembles of particles, probability distributions, and probability density functions.
Statistical Thermodynamics: Degeneracies and Laplace Transform
Covers degeneracies in statistical thermodynamics and the Laplace transform.