The Normal Distribution (1 of 3: Introductory definition)
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From playlist The Normal Distribution
Identifying, symmetric, skewed, uniform, and bell-shaped distributions
From playlist Unit 1: Descriptive Statistics
Multivariate Gaussian distributions
Properties of the multivariate Gaussian probability distribution
From playlist cs273a
What is a Sampling Distribution?
Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creat
From playlist Probability Distributions
What is a Unimodal Distribution?
Quick definition of a unimodal distribution and how it compares to a bimodal distribution and a multimodal distribution.
From playlist Probability Distributions
Distribution, Mean, Median, Mode, Range and Standard Deviation Lesson
This is part 1 of a lesson on describing data.
From playlist The Normal Distribution
Using normal distribution to find the probability
👉 Learn how to find probability from a normal distribution curve. A set of data are said to be normally distributed if the set of data is symmetrical about the mean. The shape of a normal distribution curve is bell-shaped. The normal distribution curve is such that the mean is at the cente
From playlist Statistics
Uniform Probability Distribution Examples
Overview and definition of a uniform probability distribution. Worked examples of how to find probabilities.
From playlist Probability Distributions
What is a bimodal distribution? How to find out if data fits a bimodal.
From playlist Probability Distributions
Jean-Michel Zakoïan: Testing the existence of moments for GARCH-type processes
It is generally admitted that financial time series have heavy tailed marginal distributions. When time series models are fitted on such data, the non-existence of appropriate moments may invalidate standard statistical tools used for inference. Moreover, the existence of moments can be cr
From playlist Probability and Statistics
Rational Function : Find the Asymptotes (Vertical, Horizontal, Slant / Oblique)
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Rational Function : Find the Asymptotes (Vertical, Horizontal, Slant / Oblique)
From playlist All Videos - Part 1
Davy Paindaveine - Testing for principal component directions under weak identifiability
Professor Davy Paindaveine (Université Libre de Bruxelles) presents “Testing for principal component directions under weak identifiability", 2 October 2020.
From playlist Statistics Across Campuses
Joscha Prochno: The large deviations approach to high-dimensional convex bodies, lecture III
Given any isotropic convex body in high dimension, it is known that its typical random projections will be approximately standard Gaussian. The universality in this central limit perspective restricts the information that can be retrieved from the lower-dimensional projections. In contrast
From playlist Workshop: High dimensional spatial random systems
Asymptotic spectra and their applications II - Jeroen Zuiddam
Computer Science/Discrete Mathematics Seminar II Topic: Asymptotic spectra and their applications II Speaker: Jeroen Zuiddam Affiliation: Member, School of Mathematics Date: October 16, 2018 For more video please visit http://video.ias.edu
From playlist Mathematics
Eliza O’Reilly: Facets of high dimensional random polytopes
We consider the model of n i.i.d. points chosen uniformly from the unit sphere in R^d and study the asymptotic behavior of the (d−1)-dimensional faces, or facets, of the convex hull of these points. In fixed dimension d, known asymptotic formulas as the number of points n grows provide res
From playlist Workshop: High dimensional spatial random systems
Asymptotic spectra and Applications II - Jeroen Zuiddam
Computer Science/Discrete Mathematics Seminar I Topic: Asymptotic spectra and Applications II Speaker: Jeroen Zuiddam Affiliation: Member, School of Mathematics Date: October 15, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
Asymptotic properties of random quantum states and channels - Z.Puchała - Workshop 2 - CEB T3 2017
Zbigniew Puchała / 21.10.17 Asymptotic properties of random quantum states and channels Properties of random mixed states of dimension N distributed uniformly with respect to the Hilbert-Schmidt measure are investigated. We show that for large N, due to the concentration of measure pheno
From playlist 2017 - T3 - Analysis in Quantum Information Theory - CEB Trimester
Vicky Fasen-Hartmann: Empirical spectral processes for stationary state space models
In this talk, we consider function-indexed normalized weighted integrated periodograms for equidistantly sampled multivariate continuous-time state space models which are multivariate continuous-time ARMA processes. Thereby, the sampling distance is fixed and the driving Lévy process has a
From playlist Probability and Statistics
Intro to non normal distributions. Several examples including exponential and Weibull.
From playlist Probability Distributions
Finding an Oblique Asymptote of a Rational Function (Precalculus - College Algebra 41)
Support: https://www.patreon.com/ProfessorLeonard Professor Leonard Merch: https://professor-leonard.myshopify.com How to determine the existence of an Oblique Asymptote (Slant Asymptote/Diagonal Asymptote) of a rational function, why they exist, and how to find them with long division of
From playlist Precalculus - College Algebra/Trigonometry