The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
Uniform Probability Distribution Examples
Overview and definition of a uniform probability distribution. Worked examples of how to find probabilities.
From playlist Probability Distributions
Statistics: Introduction to the Shape of a Distribution of a Variable
This video introduces some of the more common shapes of distributions http://mathispower4u.com
From playlist Statistics: Describing Data
Distribution, Mean, Median, Mode, Range and Standard Deviation Lesson
This is part 1 of a lesson on describing data.
From playlist The Normal Distribution
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
Identifying, symmetric, skewed, uniform, and bell-shaped distributions
From playlist Unit 1: Descriptive Statistics
Continuous Probability Distributions - Basic Introduction
This statistics video tutorial provides a basic introduction into continuous probability distributions. It discusses the normal distribution, uniform distribution, and the exponential distribution. The probability is equal to the area under the curve and the total area under the curve is
From playlist Statistics
The Continuous Uniform Distribution
From playlist Probability Distributions
Normal Distribution - Harder Questions (1 of 3: Population within given z-scores)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
Probability - Convergence Theorems for Markov Chains: Oxford Mathematics 2nd Year Student Lecture:
These lectures are taken from Chapter 6 of Matthias Winkel’s Second Year Probability course. Their focus is on the main convergence theorems of Markov chains. You can watch many other student lectures via our main Student Lectures playlist (also check out specific student lectures playlis
From playlist Oxford Mathematics Student Lectures - Probability
Non-stationary Markow Processes: Approximations and Numerical Methods by Peter Glynn
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019
Markov processes and applications-5 by Hugo Touchette
PROGRAM : BANGALORE SCHOOL ON STATISTICAL PHYSICS - XII (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, Bengaluru) and Sanjib Sabhapandit (RRI, Bengaluru) DATE : 28 June 2021 to 09 July 2021 VENUE : Online Due to the ongoing COVID-19 pandemic, the school will be conducted through online
From playlist Bangalore School on Statistical Physics - XII (ONLINE) 2021
Time Series Talk : Augmented Dickey Fuller Test + Code
Theory and code behind the Augmented Dickey Fuller Test: Code used in this video : https://github.com/ritvikmath/Time-Series-Analysis/blob/master/Augmented%20Dickey-Fuller%20Test.ipynb Stationarity Video : https://www.youtube.com/watch?v=oY-j2Wof51c Unit Roots Video : https://www.youtub
From playlist Time Series Analysis
Markov Chain Stationary Distribution : Data Science Concepts
What does it mean for a Markov Chain to have a steady state? Markov Chain Intro Video : https://www.youtube.com/watch?v=prZMpThbU3E
From playlist Data Science Concepts
Markov Chain Monte Carlo (MCMC) : Data Science Concepts
Markov Chains + Monte Carlo = Really Awesome Sampling Method. Markov Chains Video : https://www.youtube.com/watch?v=prZMpThbU3E Monte Carlo Video : https://www.youtube.com/watch?v=EaR3C4e600k Markov Chain Stationary Distribution Video : https://www.youtube.com/watch?v=4sXiCxZDrTU
From playlist Bayesian Statistics
Stochastic Resetting - CEB T2 2017 - Evans - 3/3
Martin Evans (Edinburgh) - 12/05/2017 Stochastic Resetting We consider resetting a stochastic process by returning to the initial condition with a fixed rate. Resetting is a simple way of generating a nonequilibrium stationary state in the sense that the process is held away from any eq
From playlist 2017 - T2 - Stochastic Dynamics out of Equilibrium - CEB Trimester
Atmospheric Polar Warming at Mars - Tamara McDunn (SETI Talks)
SETI Talks archive: http://seti.org/talks This talk will cover two active areas of research in the field of martian atmospheric dynamics. The first is polar warming, a temperature enhancement over mid-to-high latitudes that results in a reversed (poleward) meridional temperature gradient.
From playlist Mars Atmosphere Playlist
Markov processes and applications by Hugo Touchette
PROGRAM : BANGALORE SCHOOL ON STATISTICAL PHYSICS - XII (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, Bengaluru) and Sanjib Sabhapandit (RRI, Bengaluru) DATE : 28 June 2021 to 09 July 2021 VENUE : Online Due to the ongoing COVID-19 pandemic, the school will be conducted through online
From playlist Bangalore School on Statistical Physics - XII (ONLINE) 2021
UNIFORM Probability Distribution for Discrete Random Variables (9-5)
Uniform Probability Distribution: (i.e., a rectangular distribution) is a probability distribution involving one random variable with a constant probability. Each potential outcome is equally likely, such as flipping coin and getting heads is always 50/50. On Chaos Night, Dante experiment
From playlist Discrete Probability Distributions in Statistics (WK 9 - QBA 237)
Markov Chains: Simulation in Python | Stationary Distribution Computation | Part - 7
So far we have a fair knowledge of Markov Chains. But how to implement this? Here, I've coded a Markov Chain from scratch and I've mentioned 3 different ways of computing the stationary distribution! #markovchain #datascience #python Like my work? Support me - https://www.buymeacoffee.co
From playlist Markov Chains Clearly Explained!