In probability theory, random element is a generalization of the concept of random variable to more complicated spaces than the simple real line. The concept was introduced by Maurice Fréchet who commented that the “development of probability theory and expansion of area of its applications have led to necessity to pass from schemes where (random) outcomes of experiments can be described by number or a finite set of numbers, to schemes where outcomes of experiments represent, for example, vectors, functions, processes, fields, series, transformations, and also sets or collections of sets.” The modern-day usage of “random element” frequently assumes the space of values is a topological vector space, often a Banach or Hilbert space with a specified natural sigma algebra of subsets. (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
Prob & Stats - Random Variable & Prob Distribution (1 of 53) Random Variable
Visit http://ilectureonline.com for more math and science lectures! In this video I will define and gives an example of what is a random variable. Next video in series: http://youtu.be/aEB07VIIfKs
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
(PP 3.1) Random Variables - Definition and CDF
(0:00) Intuitive examples. (1:25) Definition of a random variable. (6:10) CDF of a random variable. (8:28) Distribution of a random variable. A playlist of the Probability Primer series is available here: http://www.youtube.com/view_play_list?p=17567A1A3F5DB5E4
From playlist Probability Theory
Conceptual Questions about Random Variables and Probability Distributions
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Conceptual Questions about Random Variables and Probability Distributions
From playlist Statistics
Prob & Stats - Random Variable & Prob Distribution (2 of 53) Random Variable - Terminology Review
Visit http://ilectureonline.com for more math and science lectures! In this video I will define and reviews terminologies associated with random variables. Next video in series: http://youtu.be/ebP7x2zviBI
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
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
(PP 5.1) Multiple discrete random variables
(0:00) Definition of a random vector. (1:50) Definition of a discrete random vector. (2:28) Definition of the joint PMF of a discrete random vector. (7:00) Functions of random vectors. A playlist of the Probability Primer series is available here: http://www.youtube.com/view_play_list?p=
From playlist Probability Theory
Introduction to Random Variables
Introduction to random variables and probability distribution functions. More free lessons at: http://www.khanacademy.org/video?v=IYdiKeQ9xEI
From playlist Statistics
Random Variable Examples with Discrete and Continuous
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From playlist Statistics
Lec 6 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005
Lecture 06: Order Statistics, Median View the complete course at: http://ocw.mit.edu/6-046JF05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503),
C Programming: Array Algorithms
We are continuing our discussion of arrays in C with lots of examples of basic array algorithms: sort, search, reverse, and more.
From playlist C Programming
Online List Labeling: Breaking the log2 n Barrier - Nicole Wein
Computer Science/Discrete Mathematics Seminar II Topic: Online List Labeling: Breaking the log2 n Barrier Speaker: Nicole Wein Affiliation: Rutgers University Date: December 06, 2022 The online list labeling problem is a basic primitive in data structures. The goal is to store a dynami
From playlist Mathematics
Roie Levin: Random Order Set Cover is as Easy as Offline
We give a polynomial time algorithm for Online Set Cover with a competitive ratio of O(log mn) when the elements are revealed in random order, essentially matching the best possible offline bound of O(log n) and circumventing the O(log mlog n) lower bound known in adversarial order. We als
From playlist Workshop: Continuous approaches to discrete optimization
Camille Horbez: Growth under random products of automorphisms of a free group
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Algebra
This is Lecture 9 of the CSE373 (Analysis of Algorithms) course taught by Professor Steven Skiena [http://www3.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: https://www.cs.stonybrook.edu/~skiena/373/newlectures/lecture9.pdf More infor
From playlist CSE373 - Analysis of Algorithms 2016 SBU
Random Numbers in Python - Advanced Python 12 - Programming Tutorial
Random Numbers in Python - Advanced Python 12 - Programming Tutorial In this Python Advanced Tutorial, we will be learning about random numbers in Python. Python comes with different built-in modules to generate random numbers. In this Tutorial we will have a look at the random module for
From playlist Advanced Python - Complete Course
CSE373 2012 - Lecture 10 - Sorting (con't 2)
This is Lecture 10 of the CSE373 (Analysis of Algorithms) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 2012.
From playlist CSE373 - Analysis of Algorithms - 2012 SBU
Discrete Random Variables (1 of 3: Expected value & median)
More resources available at www.misterwootube.com
From playlist Probability and Discrete Probability Distributions
Two (More) Algorithms for Set Cover - Anupam Gupta
Computer Science/Discrete Mathematics Seminar I 11:15am|Simonyi 101 and Remote Access Topic: Two (More) Algorithms for Set Cover Speaker: Anupam Gupta Affiliation: Carnegie Mellon University Date: March 06, 2023 In the minimum cost set cover problem, a set system is given as input, and th
From playlist Mathematics