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Doubly-latent Models in Spatial Epidemiology By Glenna Nightingale, Megan Laxton and Jacqueline Aim. Copyright © University of Edinburgh 2020 CC BY-NC-SA This work is licensed under a Creative…
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Structural Breaks and Shape Constraints Second- and Higher-Order Anti-Concentration Inequalities, Comparison Theorems and Bootstrap Cun-Hui Zhang (Rutgers University) 19 May 2022
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May 23rd, 2022
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This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Thomas Opitz Talk Title: Stochastic geometry of Gaussian mixture processes and spatial extreme-value analysis…
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This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Krzysztof Debicki Talk Title: Extremes of Vector-Valued Gaussian Processes Abstract: We develop the uniform…
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This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Lanpeng Ji Talk Title: Extrema of multi-dimensional Gaussian processes over random intervals Abstract:…
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ASR Lecture 13: Speaker adaptation
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March 29th, 2021
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The concept of the characteristic function for scalar random variables
is extended to multivariate densities of random vectors. This is defined
as the multi-dimensional Fourier transform, or the…
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PGEE11164 Licence Type
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October 18th, 2020
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This video reviews the probability density function (pdf) for the
multivariate Gaussian random variable. This pdf is then derived by
developing the isotropic multivariate Gaussian, and then…
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PGEE11164 Licence Type
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October 15th, 2020
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This video looks at two important and commonly used higher-order
statistics that are useful for characterising a random variable, namely
skewness and kurtosis. The video gives a physical meaning…
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PGEE11164 Licence Type
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September 29th, 2020
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This video introduces a number of common probability density functions
that are used in signal processing algorithms. Examples are given over
finite-intervals, the entire real axis, and…
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PGEE11164 Licence Type
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September 23rd, 2020
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A probabilistic formulation of the linear model
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Summary
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Introduction to mixture models
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How many Gaussians in the GMM
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Gaussian mixture model (GMM)
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Visualizing the EM algorithm
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