(PP 6.1) Multivariate Gaussian - definition
Introduction to the multivariate Gaussian (or multivariate Normal) distribution.
From playlist Probability Theory
(PP 6.2) Multivariate Gaussian - examples and independence
Degenerate multivariate Gaussians. Some sketches of examples and non-examples of Gaussians. The components of a Gaussian are independent if and only if they are uncorrelated.
From playlist Probability Theory
(PP 6.6) Geometric intuition for the multivariate Gaussian (part 1)
How to visualize the effect of the eigenvalues (scaling), eigenvectors (rotation), and mean vector (shift) on the density of a multivariate Gaussian.
From playlist Probability Theory
(PP 6.7) Geometric intuition for the multivariate Gaussian (part 2)
How to visualize the effect of the eigenvalues (scaling), eigenvectors (rotation), and mean vector (shift) on the density of a multivariate Gaussian.
From playlist Probability Theory
Statistics: Ch 4 Probability in Statistics (20 of 74) Definition of Probability
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the “strict” definition of experimental (empirical) and theoretical probability. Next video in this series can be seen
From playlist STATISTICS CH 4 STATISTICS IN PROBABILITY
Probability Theory - Part 1 - Introduction (including R)
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From playlist Probability Theory
(PP 2.1) Conditional Probability
(0:00) Notation and terminology. (2:36) Definition of conditional probability, intuitive meaning, and an example. A playlist of the Probability Primer series is available here: http://www.youtube.com/view_play_list?p=17567A1A3F5DB5E4
From playlist Probability Theory
Probability Theory - Part 14 - Expectation and Change-of-Variables
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From playlist Probability Theory
Expected Value of the Exponential Distribution | Exponential Random Variables, Probability Theory
What is the expected value of the exponential distribution and how do we find it? In today's video we will prove the expected value of the exponential distribution using the probability density function and the definition of the expected value for a continuous random variable. It's gonna b
From playlist Probability Theory
Probability Theory - Part 1 - Introduction (including R) [dark version]
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From playlist Probability Theory [dark version]
Probability Theory - Part 2 - Probability Measures [dark version]
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From playlist Probability Theory [dark version]
Nexus Trimester - Andrei Romashchenko (LIRMM)
On Parallels Between Shannon’s and Kolmogorov’s Information Theories (where the parallelism fails and why) Andrei Romashchenko (LIRMM) February 02, 2016 Abstract: Two versions of information theory - the theory of Shannon's entropy and the theory of Kolmgorov complexity - have manifest
From playlist Nexus Trimester - 2016 - Distributed Computation and Communication Theme
Probability Theory - Part 3 - Discrete vs. Continuous Case [dark version]
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From playlist Probability Theory [dark version]
Probability Theory - Part 10 - Random Variables [dark version]
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From playlist Probability Theory [dark version]
The biggest problem in the Many Worlds theory of quantum mechanics
Here's the next video https://youtu.be/cKlRnutiv-k
From playlist Some Quantum Mechanics
Probability Theory - Part 14 - Expectation and Change-of-Variables [dark version]
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From playlist Probability Theory [dark version]
Probability Theory - Part 9 - Independence for Events [dark version]
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From playlist Probability Theory [dark version]
Probability Theory - Part 11 - Distribution of a Random Variable [dark version]
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From playlist Probability Theory [dark version]
Complex Stochastic Models and their Applications by Subhroshekhar Ghosh
PROGRAM: TOPICS IN HIGH DIMENSIONAL PROBABILITY ORGANIZERS: Anirban Basak (ICTS-TIFR, India) and Riddhipratim Basu (ICTS-TIFR, India) DATE & TIME: 02 January 2023 to 13 January 2023 VENUE: Ramanujan Lecture Hall This program will focus on several interconnected themes in modern probab
From playlist TOPICS IN HIGH DIMENSIONAL PROBABILITY
Probability Theory - Part 2 - Probability Measures
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From playlist Probability Theory