Types of probability distributions
In statistics, a univariate distribution is a probability distribution of only one random variable. This is in contrast to a multivariate distribution, the probability distribution of a random vector (consisting of multiple random variables). (Wikipedia).
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
(ML 7.10) Posterior distribution for univariate Gaussian (part 2)
Computing the posterior distribution for the mean of the univariate Gaussian, with a Gaussian prior (assuming known prior mean, and known variances). The posterior is Gaussian, showing that the Gaussian is a conjugate prior for the mean of a Gaussian.
From playlist Machine Learning
(ML 7.9) Posterior distribution for univariate Gaussian (part 1)
Computing the posterior distribution for the mean of the univariate Gaussian, with a Gaussian prior (assuming known prior mean, and known variances). The posterior is Gaussian, showing that the Gaussian is a conjugate prior for the mean of a Gaussian.
From playlist Machine Learning
The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
(ML 6.2) MAP for univariate Gaussian mean
Computing the MAP for the mean of a univariate Gaussian with a Gaussian prior, assuming a known variance. A playlist of these Machine Learning videos is available here: http://www.youtube.com/view_play_list?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
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
OCR MEI Statistics 2 2.01 Introducing the Poisson Distribution
Thanks for watching! Please like my new Facebook page https://www.facebook.com/TLMaths-1943955188961592/ to keep you updated with future videos :-)
From playlist [OLD SPEC] TEACHING OCR MEI STATISTICS 2 (S2)
Understanding bivariate and univariate data
From playlist Integrated Algebra Regents
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
Andreas H. Hamel: From set-valued quantiles to risk measures: a set optimization approach to...
Abstract : Some questions in mathematics are not answered for quite some time, but just sidestepped. One of those questions is the following: What is the quantile of a multi-dimensional random variable? The "sidestepping" in this case produced so-called depth functions and depth regions, a
From playlist Probability and Statistics
Geostatistics session 5 conditional simulation
Introduction to conditional simulation with Gaussian processes
From playlist Geostatistics GS240
(ML 4.3) MLE for univariate Gaussian mean
Computing the maximum likelihood estimate (MLE) for the mean of a univariate Gaussian, assuming a known variance. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
Efficiently Learning Mixtures of Gaussians - Ankur Moitra
Efficiently Learning Mixtures of Gaussians Ankur Moitra Massachusetts Institute of Technology January 18, 2011 Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble
From playlist Mathematics
Recorded: Spring 2015 Lecturer: Dr. Erin M. Buchanan Data Screening Video Demo - based on information from Tabachnick and Fidell (2012) and Field (2014). Please note: this video was recorded with Blackboard collaborate - the quality was very reduced because of using this software. Anothe
From playlist Advanced Statistics Videos
Data Science Basics: Univariate Statistics
Live Jupyter walk-through of basic univariate statistics in Python.This should be enough to get anyone started building predictive machine learning workflows in Python. The demonstrated workflow is available at: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/PythonDataBas
From playlist Data Science Basics in Python
FRM: Bivariate normal distribution
The bivariate normal distribution (common in credit risk) gives the joint probability for two normally distributed random variables. For more financial risk videos, visit our website! http://www.bionicturtle.com
From playlist Statistics: Distributions
(PP 6.10) Sum of independent Gaussians
A sum of independent (multivariate) Gaussians is (multivariate) Gaussian, with mean equal to the sum of the means, and covariance equal to the sum of the covariances.
From playlist Probability Theory
04 Spatial Data Analytics: Univariate Distributions
Basic univariate data analytics for subsurface modeling. Discussion on histogram, PDF and CDF.
From playlist Spatial Data Analytics and Modeling
How to Handle Outliers in your Dataset in Business Statistics (Week 6B)
Outliers can cause big problems in your data. We learn what causes outliers, how to identify them, the problems they cause, and options for dealign with them. Some outliers should stay in the data. Others should be corrected, winsorized, or sometimes discarded. We explore the difference b
From playlist Basic Business Statistics (QBA 237 - Missouri State University)