Fractals | Statistical randomness
The seven states of randomness in probability theory, fractals and risk analysis are extensions of the concept of randomness as modeled by the normal distribution. These seven states were first introduced by Benoît Mandelbrot in his 1997 book Fractals and Scaling in Finance, which applied fractal analysis to the study of risk and randomness. This classification builds upon the three main states of randomness: mild, slow, and wild. The importance of seven states of randomness classification for mathematical finance is that methods such as Markowitz mean variance portfolio and Black–Scholes model may be invalidated as the tails of the distribution of returns are fattened: the former relies on finite standard deviation (volatility) and stability of correlation, while the latter is constructed upon Brownian motion. (Wikipedia).
Statistics: Ch 5 Discrete Random Variable (1 of 27) What is a Random Variable?
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn a random variable is a variable which represents the outcome of a trial, an experiment, or an event. It is a specific n
From playlist STATISTICS CH 5 DISCRETE RANDOM VARIABLE
More Joint Continuous [Normal] Random Variables
I recently uploaded 200 videos that are much more concise with excellent graphics. Click the link in the upper right-hand corner of this video. It will take you to my youtube channel where videos are arranged in playlists. In this older video: explanation & word problem involving the ne
From playlist Unit 6 Probability B: Random Variables & Binomial Probability & Counting Techniques
Understanding the Central Limit Theorem
From playlist Unit 7 Probability C: Sampling Distributions & Simulation
9mat Probability Quiz 3 Randomness Answers
9mat Probability Quiz 3 Randomness Answers
From playlist 2014 9mat
There's more over on Veritasium! "What is NOT Random?": https://www.youtube.com/watch?v=sMb00lz-IfE SOURCES AND MORE BELOW! My twitter: https://twitter.com/tweetsauce My instagram: http://instagram.com/electricpants Generate random numbers using atmospheric noise: http://www.random.org/
From playlist Knowledge
!!Con 2016 - lol im so random! By Mark Wunsch
lol im so random! By Mark Wunsch Randomness has many applications in computing ranging from cryptography and statistics to generative art and simulation, but where does randomness come from? When you ask for a random number from your system, how truly random is it? This talk will explore
From playlist RailsConf 2016
Probability 101d: Central limit theorem
(C) 2012 David Liao lookatphysics.com CC-BY-SA (Replaces previous unscripted draft) Many independent events Binomial distribution in limit of many coin tosses Gaussian distribution
From playlist Probability, statistics, and stochastic processes
How to Use Math to Get Rich in the Lottery* - Jordan Ellenberg (Wisconsin–Madison)
For seven years, a group of students from MIT exploited a loophole in the Massachusetts State Lottery’s Cash WinFall game to win drawing after drawing, eventually pocketing more that $3 million. How did they do it? How did they get away with it? And what does this all have to do with mathe
From playlist Mathematics Research Center
What We've Learned from NKS Chapter 7: Mechanisms in Programs and Nature
In this episode of "What We've Learned from NKS", Stephen Wolfram is counting down to the 20th anniversary of A New Kind of Science with [another] chapter retrospective. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or th
From playlist Science and Research Livestreams
Data Science with Mathematica -- Introduction to Reinforcement Learning
In this session of my Data Science with Mathematica track I provide an introduction to Reinforcement Learning, which is one of the three pillars of Machine Learning. I start out with the basics of RL and then use the simple game of Tic-Tac-Toe to demonstrate the temporal distance learning
From playlist Data Science with Mathematica
How Not to Be Wrong: The Power of Mathematical Thinking - with Jordan Ellenberg
The maths we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. Jordan Ellenberg shows how wrong this view is through stories that show the power of mathematical thinking. Buy Jordan's book "How Not to Be Wrong: The Hidden Maths of Ever
From playlist Mathematics
Arduino Tutorial 4 : 7 Segment Display & Theremin
Get the Code : http://bit.ly/arduinotut4 Kit I'm using : https://amzn.to/2wLYrwI Best Arduino Book : https://amzn.to/2Q5BEnL https://www.patreon.com/derekbanas In this part of my Arduino tutorial we'll create 2 separate projects. First we'll learn how 7 segment displays work and then crea
From playlist Arduino Tutorial
Spinons and magnetization plateaus in s=1/2 Kagome antfierromagnet YCu3(OH)6+xBr3-x -Kwang Yong Choi
PROGRAM FRUSTRATED METALS AND INSULATORS (HYBRID) ORGANIZERS Federico Becca (University of Trieste, Italy), Subhro Bhattacharjee (ICTS-TIFR, India), Yasir Iqbal (IIT Madras, India), Bella Lake (Helmholtz-Zentrum Berlin für Materialien und Energie, Germany), Yogesh Singh (IISER Mohali, In
From playlist FRUSTRATED METALS AND INSULATORS (HYBRID, 2022)
From playlist STAT 200 Video Lectures
React Native Web Math Game Dev (P7D11) - Live Coding with Jesse
Project 7 Day 11: Today we will continue to work on the mechanics for our children's' math game. See a professional software engineer at work. Unscripted. Mistakes included. Project Repo: https://github.com/JesseRWeigel/battlemath Twitter: https://twitter.com/JesseRWeigel Youtube: https
From playlist Live Coding with Jesse
Statistics: Ch 5 Discrete Random Variable (2 of 27) What is a Discrete Random Variable?
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn a discrete random variable can be a count of something, an integer, as how many times a coin comes up “heads” or “tails
From playlist STATISTICS CH 5 DISCRETE RANDOM VARIABLE
Randomness Quiz - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
38: Balanced Trees - Richard Buckland UNSW
Approaches to Balancing Trees. Rotations, Splay Trees. Treaps. Heaps. Types of heaps, representing heaps. Operations on heaps. Lecture 38 of Computing2 (Comp1927) "Data Structures and Algorithms" by Richard Buckland, UNSW Australia. This class was recorded in September 2009.
From playlist CS2: Data Structures and Algorithms - Richard Buckland
Absorption probabilities in finite Markov chains
Code discussed in this video: https://gist.github.com/Nikolaj-K/f660de8cec4551cfb879479470625e20 Wikipedia: https://en.wikipedia.org/wiki/Absorbing_Markov_chain How's life?
From playlist Programming
Introduction to Random Signal Representation
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Introduction to the concept of a random signal, then review of probability density functions, mean, and variance for scalar quantities.
From playlist Random Signal Characterization