Concept
Multivariate statistics
Related lectures (77)
Random Walks on Discrete Spaces
Explores random walks on discrete spaces and their properties, including multivariate random variables and Poisson distributions.
Linear Regression
Introduces linear regression, covering line fitting, training, gradients, and multivariate functions, with practical examples like face completion and age prediction.
Birth Month Impact on Athlete Success
Investigates how birth month influences athlete success, analyzing Japanese athletes' dataset to explore trends in birthdates and occupations.
Estimation of Theoretical Frequencies
Covers the estimation of theoretical frequencies and independence testing between two characteristics, with examples for practical application.
Time Series: Representation and Modelling
Covers the stochastic properties of time series, stationarity, autocovariance, special stochastic processes, spectral density, digital filters, estimation techniques, model checking, forecasting, and advanced models.
Stochastic Blockmodel Estimation
Explores Stochastic Blockmodel estimation, spectral clustering, network modularity, Laplacian matrix, and k-means clustering.
Splines: Fundamentals and Applications
Explores B-splines, natural cubic splines, and smoothing splines in regression problems and their practical applications.
Multivariate Polynomial Regression
Covers multivariate polynomial regression to predict sound velocity in water based on measurements.
Conditional Gaussian Generation
Explores the generation of multivariate Gaussian distributions and the challenges of factorizing covariance matrices.
Multivariate Methods I
Explores multivariate methods like PCA, SVD, PLS, and ICA for dimensionality reduction in functional brain imaging.