(PP 6.1) Multivariate Gaussian - definition
Introduction to the multivariate Gaussian (or multivariate Normal) distribution.
From playlist Probability Theory
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
What is Multivariate Testing? | Data Science in Minutes
In this tutorial, we will explain: how a multivariate test differs from an A/B Test, how to create and conduct a multivariate test, and what questions you should be asking of your test. Multivariate testing is a technique for testing a hypothesis in which multiple variables are modified.
From playlist Data Science in Minutes
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
VARIABLES in Statistical Research (2-1)
A variable is any characteristic that can vary. An organized collection of numbers can be a variable. Qualitative variables indicate an attribute or belongingness to a category. Dichotomous variables are discrete variables that can have two and only two values. Quantitative variables indic
From playlist Forming Variables for Statistics & Statistical Software (WK 2 - QBA 237)
More Standard Deviation and Variance of Joint Discrete Random Variables
Further example and understanding of Joint Discrete random variables and their standard deviation and variance
From playlist Unit 6 Probability B: Random Variables & Binomial Probability & Counting Techniques
Stanislav Nagy: Quantiles, depth, and symmetries: Geometry in multivariate statistics
There are tools of multivariate statistics with natural counterparts in geometry. We examine these connections and outline the amount of research that has been conducted in parallel in the two fields. Advances from geometry allow us to approach problems in multivariate statistics that were
From playlist Workshop: High dimensional measures: geometric and probabilistic aspects
Statistics: Ch 3 Bivariate Data (1 of 55) What is Bivariate Data?
Visit http://ilectureonline.com for more math and science lectures! We will learn what is bivariate data (or data consisting 2 variables, qualitative and/or quantitative). To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 . Next video in this series c
From playlist THE "WHAT IS" PLAYLIST
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
Read the paper:http://onlinelibrary.wiley.com/doi/10.1111/j.2041-210X.2012.00190.x/full David Warton, The University of New South Wales, Australia, presents his 'mvabund' package on multivariate analysis. What makes this software different from other ones on multivariate analysis, is t
From playlist Research Snapshots
Geostatistics session 5 conditional simulation
Introduction to conditional simulation with Gaussian processes
From playlist Geostatistics GS240
05 Machine Learning: Multivariate Analysis
Some prerequisite multivariate analysis concepts to support machine learning workflows. Follow along with the demonstration workflow in Python: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/SubsurfaceDataAnalytics_Multivariate.ipynb This is an undergraduate / graduate c
From playlist Machine Learning
Professor Mike West: Structured Dynamic Graphical Models & Scaling Multivariate Time Series
The Turing Lectures - Professor Mike West: Structured Dynamic Graphical Models & Scaling Multivariate Time Series. Click the below timestamps to navigate the video. 00:00:12 Welcome & Introduction by Doctor Ioanna Manolopoulou 00:01:19 Professor Mike West: Structured Dynamic
From playlist Turing Lectures
StatGeoChem session 4 Outliers
Identification of outliers in multi-variate data
From playlist Statistical Geochemistry
Four things to keep in mind about connectivity
This video lesson is part of a complete course on neuroscience time series analyses. The full course includes - over 47 hours of video instruction - lots and lots of MATLAB exercises and problem sets - access to a dedicated Q&A forum. You can find out more here: https://www.udemy.
From playlist NEW ANTS #4) Synchronization
Confirmatory factor analysis in AMOS | Part 2
In this video (Part 2), I demonstrate how to use AMOS for confirmatory factor analysis (CFA). If you have not watched part 1 of this video, please use this link: https://www.youtube.com/watch?v=HKs9vIkpIXE For a discussion on normality analysis, please see the following videos: #1: http
From playlist Structural Equation Modeling
Repeated measures ANOVA 1: A within-subjects design
In this video, I demonstrate how to do a repeated measures ANOVA test in SPSS. The design chosen in within-subjects design.
From playlist Repeated Measures ANOVA
The Assumption of NO OUTLIERS in Parametric Hypothesis Tests (16-4)
Parametric statistical tests require that the dependent variable does not contain unusual or extreme scores. Univariate outliers can be detected using z-scores. The nature of the outlier determines how you should correct it. Multivariate outliers are identified with a Mahalanobis test; you
From playlist Assumptions, Significance, & Effect Size Wrap-Up (WK 16 - QBA 237)
Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
From playlist Statistics (Full Length Videos)
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