(PP 5.4) Independence, Covariance, and Correlation
(0:00) Definition of independent random variables. (5:10) Characterizations of independence. (10:54) Definition of covariance. (13:10) Definition of correlation. A playlist of the Probability Primer series is available here: http://www.youtube.com/view_play_list?p=17567A1A3F5DB5E4
From playlist Probability Theory
(PP 2.3) Independence (continued)
(0:00) (Mutual) Independence of an infinite sequence of events. (1:55) Conditional Independence of multiple events. (3:28) Relationship between independence and conditional probability. (7:23) Example illustrating the relationships between independence, pairwise independence, mutu
From playlist Probability Theory
This video introduces probability and determine the probability of basic events. http://mathispower4u.yolasite.com/
From playlist Counting and Probability
Probability - Quantum and Classical
The Law of Large Numbers and the Central Limit Theorem. Probability explained with easy to understand 3D animations. Correction: Statement at 13:00 should say "very close" to 50%.
From playlist Physics
What Is The Uncertainty Principle?
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From playlist Science Unplugged: Quantum Mechanics
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics
Ex: Determine Conditional Probability from a Table
This video provides two examples of how to determine conditional probability using information given in a table.
From playlist Probability
Probability: "At Least" Probabilities
This is the fourth video of a series from the Worldwide Center of Mathematics explaining the basics of probability. This video deals with calculating probabilities of "at least 1" or other "at least" probability calculations. For more math videos, visit our channel or go to www.centerofmat
From playlist Basics: Probability and Statistics
Stability and Invariant Random Subgroups - Henry Bradford
Stability and Testability Topic: Stability and Invariant Random Subgroups Speaker: Henry Bradford Affiliation: Cambridge University Date: January 20, 2021 For more video please visit http://video.ias.edu
From playlist Stability and Testability
Feedback stabilization of open quantum systems - N. Amini - Workshop 2 - CEB T2 2018
Nina Amini (L2S Supelec) / 05.06.2018 Feedback stabilization of open quantum systems In this talk, we study design of different measurement-based feedbacks stabilizing open quantum systems using mainly stochastic Lyapunov techniques. In particular, we design a measurement-based feedback
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
Learn to find the or probability from a tree diagram
👉 Learn how to find the conditional probability of an event. Probability is the chance of an event occurring or not occurring. The probability of an event is given by the number of outcomes divided by the total possible outcomes. Conditional probability is the chance of an event occurring
From playlist Probability
Stability, testability and property (T) - Oren Beker
Stability and Testability Topic: Stability, testability and property (T) Speaker: Oren Beker Affiliation: University of Cambridge Date: October 28, 2020 For more video please visit http://video.ias.edu
From playlist Stability and Testability
Stephen GUSTAFSON - Stability of periodic waves of 1D nonlinear Schrödinger equations
Motivated by the more general problem of classifying NLS dynamics in the presence of a potential, we consider the case of a (suitably) small, repulsive potential, and for certain nonlinearities, classify solutions near the 'pinned' ground state according to classical trajectories. Joint wo
From playlist Trimestre "Ondes Non linéaires" - Summer school
Feedback Control of Hybrid Dynamical Systems
Hybrid systems have become prevalent when describing complex systems that mix continuous and impulsive dynamics. Continuous dynamics usually govern the evolution of the physical variables in a system, while impulsive (or discrete) behavior is typically due to discrete events and abrupt cha
From playlist Complete lectures and talks: slides and audio
Uri Bader - 1/4 Algebraic Representations of Ergodic Actions
Ergodic Theory is a powerful tool in the study of linear groups. When trying to crystallize its role, emerges the theory of AREAs, that is Algebraic Representations of Ergodic Actions, which provides a categorical framework for various previously studied concepts and methods. Roughly, this
From playlist Uri Bader - Algebraic Representations of Ergodic Actions
Alexander Rolle (6/1/20): Stable and consistent density-based clustering
Title: Stable and consistent density-based clustering Abstract: We present a consistent approach to density-based clustering, which satisfies a stability theorem that holds without any distributional assumptions. We first define a 3-parameter hierarchical clustering of a metric probabilit
From playlist ATMCS/AATRN 2020
Stabilizing Biological Populations: The Experimental Biologist’s Perspective by Sutirth Dey
DISCUSSION MEETING : MATHEMATICAL AND STATISTICAL EXPLORATIONS IN DISEASE MODELLING AND PUBLIC HEALTH ORGANIZERS : Nagasuma Chandra, Martin Lopez-Garcia, Carmen Molina-Paris and Saumyadipta Pyne DATE & TIME : 01 July 2019 to 11 July 2019 VENUE : Madhava Lecture Hall, ICTS, Bangalore
From playlist Mathematical and statistical explorations in disease modelling and public health
Wind Tunnel Data Analysis and Testing Considerations
This is the last video in our 3 part series on wind tunnel testing. In this video, we discuss what typical plots of wind tunnel data might look like and how to extract relevant information such as stability derivatives and performance data from the results. In addition, we present some t
From playlist Flight Mechanics
Marc Levoy - Lectures on Digital Photography - Lecture 10 (20apr16).mp4
This is one of 18 videos representing lectures on digital photography, from a version of my Stanford course CS 178 that was recorded at Google in Spring 2016. A web site that includes all 18 videos, my slides, and the course schedule, applets, and assignments is http://sites.google.com/sit
From playlist Stanford: Digital Photography with Marc Levoy | CosmoLearning Computer Science
Example of Probability Density Function
Probability: The value of a randomly selected car is given by a random variable X whose distribution has density function f(x) =x^{-2} for x gt 1. Given that the value of a given randomly selected car is greater than 5, calculate the probability that the value is less than or equal to 1
From playlist Probability