(PP 6.3) Gaussian coordinates does not imply (multivariate) Gaussian
An example illustrating the fact that a vector of Gaussian random variables is not necessarily (multivariate) Gaussian.
From playlist Probability Theory
Multivariate Gaussian distributions
Properties of the multivariate Gaussian probability distribution
From playlist cs273a
(PP 6.1) Multivariate Gaussian - definition
Introduction to the multivariate Gaussian (or multivariate Normal) distribution.
From playlist Probability Theory
EXTRA MATH Lec 6B: Maximum likelihood estimation for the binomial model
Forelæsning med Per B. Brockhoff. Kapitler:
From playlist DTU: Introduction to Statistics | CosmoLearning.org
Determine Binomial Coefficients
This video provides 3 examples of how to determine various binomial coefficients. mathispower4u.com
From playlist Counting (Discrete Math)
Greatest Binomial Coefficient (1 of 5: Review of prior theory)
More resources available at www.misterwootube.com
From playlist Working with Combinatorics
Greatest Binomial Coefficient (4 of 5: Expressing a useful ratio)
More resources available at www.misterwootube.com
From playlist Working with Combinatorics
Scientific Computing Skills 5. Lecture 06.
UCI Chem 5 Scientific Computing Skills (Fall 2012) Lec 06. Scientific Computing Skills View the complete course: http://ocw.uci.edu/courses/chem_5_scientific_computing_skills.html Instructor: Douglas Tobias, Ph.D. License: Creative Commons BY-NC-SA Terms of Use: http://ocw.uci.edu/info.
From playlist UC Irvine Chemistry 5: Scientific Computing Skills
Greatest Binomial Coefficient - worked example (1 of 2)
More resources available at www.misterwootube.com
From playlist Working with Combinatorics
05 Data Analytics: Parametric Distributions
Lecture on parametric distributions, examples and applications. Follow along with the demonstration workflows in Python: o. Interactive visualization of parametric distributions: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/Interactive_ParametricDistributions.ipynb o.
From playlist Data Analytics and Geostatistics
Properties of Binomial Coefficients (1 of 2: Symmetry & Row Totals)
More resources available at www.misterwootube.com
From playlist Working with Combinatorics
Statistical Learning: 4.8 Generalized Linear Models
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Statistical Rethinking - Lecture 12
Lecture 12 - MCMC / Maximum Entropy - Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
Statistical Rethinking Fall 2017 - week07 lecture12
Week 07, lecture 12 for Statistical Rethinking: A Bayesian Course with Examples in R and Stan, taught at MPI-EVA in Fall 2017. This lecture covers Chapter 10. Slides are available here: https://speakerdeck.com/rmcelreath Additional information on textbook and R package here: http://xce
From playlist Statistical Rethinking Fall 2017
MIT 8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2013 View the complete course: http://ocw.mit.edu/8-333F13 Instructor: Mehran Kardar This is the second of two lectures on Probability. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/te
From playlist MIT 8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2013
Statistical Rethinking - Lecture 13
Lecture 13 - Generalized Linear Models (intro) - Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
Variational Bayesian NNs and Resolution of Singularities - Singular Learning Theory Seminar 35
Edmund Lau presents recent work jointly with Susan Wei, on variational inference, Bayesian neural networks and how this field can be improved using ideas from singular learning theory. You can join this seminar from anywhere, on any device, at https://www.metauni.org. All are welcome. Th
From playlist Singular Learning Theory
Evaluating Specific Binomial Coefficients
From playlist Binomial Theorem
Monotonicity of the Logarithmic Energy for Random Matrices by Benjamin Dadoun
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