Generalized Pareto distribution

The Normal Distribution (1 of 3: Introductory definition)

More resources available at www.misterwootube.com

From playlist The Normal Distribution

Unit 5 - practice problem 1 question

From playlist Courses and Series

Introduction to the Standard Normal Distribution

This video introduces the standard normal distribution http://mathispower4u.com

From playlist The Normal Distribution

Normal Distribution: Find Probability Given Z-scores Using a Free Online Calculator (MOER/MathAS)

This video explains how to determine normal distribution probabilities given z-scores using a free online calculator. https://oervm.s3-us-west-2.amazonaws.com/stats/probs.html

From playlist The Normal Distribution

Order Graphs of a Normal Distribution by Standard Deviation

This video explains how to order graph from least to greatest based up the standard deviation.

From playlist The Normal Distribution

Unit 5 - pareto optimal allocations part 3

From playlist Courses and Series

Using a Pareto Chart Example

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Using a Pareto Chart Example

From playlist Statistics

Normal Distribution: Z-Scores

This lesson explains how to determine a z-score and how to find a z-score for a given data value. The percent of data above and below a data value and z-score is also found. Site: http://mathispower4u.com

From playlist The Normal Distribution

QRM 4-2: The Fisher-Tippett and the Pickands-Balkema-de Haan Theorems

Welcome to Quantitative Risk Management (QRM). It is time to discuss the two fundamental theorems of EVT. We will give the necessary information, for their interpretation and use, but we will skip the proofs. Most of all, we will try to connect the two theorems, which give us extremely st

From playlist Quantitative Risk Management

QRM 4-4: Tails in Data - Zipf Plot and Meplot

Welcome to Quantitative Risk Management (QRM). We close Lesson 4 by introducing some first tools for the graphical analysis of tails. We will deal with the exponential QQ-plot, the Zipf plot, the Fractality plot and the Meplot. More details will then follow in Lesson 5. Topics: 00:00 Int

From playlist Quantitative Risk Management

QRM 4-3: A Bestiary of Tails

Welcome to Quantitative Risk Management (QRM). There is so much confusion about tails, that it is time to clarify what we are speaking about. Heavy tails, long tails and fat tails are not the same thing from a statistical and probabilistic point of view. In mathematics we need to be preci

From playlist Quantitative Risk Management

Lecture 7: Pareto Optimality

MIT 14.04 Intermediate Microeconomic Theory, Fall 2020 Instructor: Prof. Robert Townsend View the complete course: https://ocw.mit.edu/courses/14-04-intermediate-microeconomic-theory-fall-2020/ YouTube Playlist: https://www.youtube.com/watch?v=XSTSfCs74bg&list=PLUl4u3cNGP63wnrKge9vllow3Y2

From playlist MIT 14.04 Intermediate Microeconomic Theory, Fall 2020

QRM 5-1: Tails in Data - MS Plot and Concentration Profile

Welcome to Quantitative Risk Management (QRM). Let us continue our discussion about the graphical tools we can use to study tails. We will consider the very useful Max-to-Sum (MS) plot, able to tell us something about the existence of moments, and the Concentration Profile, another way of

From playlist Quantitative Risk Management

Final Exam Review

MIT 14.04 Intermediate Microeconomic Theory, Fall 2020 Instructor: Prof. Robert Townsend View the complete course: https://ocw.mit.edu/courses/14-04-intermediate-microeconomic-theory-fall-2020/ YouTube Playlist: https://www.youtube.com/watch?v=XSTSfCs74bg&list=PLUl4u3cNGP63wnrKge9vllow3Y2

From playlist MIT 14.04 Intermediate Microeconomic Theory, Fall 2020

Distribution, Mean, Median, Mode, Range and Standard Deviation Lesson

This is part 1 of a lesson on describing data.

From playlist The Normal Distribution

EVS Session 3 POT

Extreme Value Statistics: Peak over Threshold methods

From playlist Extreme Value Statistics

Simplified Machine Learning Workflows with Anton Antonov, Session #8: Semantic Analysis (Part 3)

Anton Antonov, a senior mathematical programmer with a PhD in applied mathematics, live-demos key Wolfram Language features that are very useful in machine learning. This session will be the part 3 where he discusses the Latent Semantic Analysis Workflows. Notebook materials are available

From playlist Simplified Machine Learning Workflows with Anton Antonov

The Distortions of Finance

Seminar about distortion functions and Lorenz curves in finance.

From playlist Talks and Interviews

Lecture 16: Fundamental Welfare Theorems

MIT 14.04 Intermediate Microeconomic Theory, Fall 2020 Instructor: Prof. Robert Townsend View the complete course: https://ocw.mit.edu/courses/14-04-intermediate-microeconomic-theory-fall-2020/ YouTube Playlist: https://www.youtube.com/watch?v=XSTSfCs74bg&list=PLUl4u3cNGP63wnrKge9vllow3Y2

From playlist MIT 14.04 Intermediate Microeconomic Theory, Fall 2020

Multivariate Gaussian distributions

Properties of the multivariate Gaussian probability distribution

From playlist cs273a