In mathematics, a continuous-time random walk (CTRW) is a generalization of a random walk where the wandering particle waits for a random time between jumps. It is a stochastic jump process with arbitrary distributions of jump lengths and waiting times. More generally it can be seen to be a special case of a Markov renewal process. (Wikipedia).
Brain Teasers: 12. A simple symmetric random walk
Very easy exercise about the first moments of a symmetric random walk.
From playlist Brain Teasers and Quant Interviews
What is a Walk? | Graph Theory
What is a walk in the context of graph theory? That is the subject of today's math lesson! A walk in a graph G can be thought of as a way of moving through G, where you start at any vertex in the graph, and then move to other vertices through the edges in the graph. In a walk, you are allo
From playlist Graph Theory
Random Variable Examples with Discrete and Continuous
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Random Variable Examples with Discrete and Continuous
From playlist Statistics
Random walks in 2D and 3D are fundamentally different (Markov chains approach)
Second channel video: https://youtu.be/KnWK7xYuy00 100k Q&A Google form: https://forms.gle/BCspH33sCRc75RwcA "A drunk man will find his way home, but a drunk bird may get lost forever." What is this sentence about? In 2D, the random walk is "recurrent", i.e. you are guaranteed to go back
From playlist Novel topics (not in usual math curricula)
What are Continuous Random Variables? (1 of 3: Relation to discrete data)
More resources available at www.misterwootube.com
From playlist Random Variables
Statistics: Ch 4 Probability in Statistics (7 of 74) The Random Walk - Seeing is Believing!
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 graph the random walk where the more times we toss a coin the further the steps are from the origin. Next video in this seri
From playlist STATISTICS CH 4 STATISTICS IN PROBABILITY
Conformally invariant measures on paths and loops – Gregory Lawler – ICM2018
Plenary Lecture 5 Conformally invariant measures on paths and loops Gregory Lawler Abstract: There has been incredible progress in the last twenty years in the study of fractal paths and fields that arise in planar statistical physics. I will give an introduction to the area and discuss
From playlist Plenary Lectures
Statistics: Ch 4 Probability in Statistics (10 of 74) Random Walk: Average Displacement
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 learned from previous video each of the random walks is the average displacement is SQRT(n)=3.16, where n=number of tosses. Next
From playlist STATISTICS CH 4 STATISTICS IN PROBABILITY
Networks: Part 6 - Oxford Mathematics 4th Year Student Lecture
Network Science provides generic tools to model and analyse systems in a broad range of disciplines, including biology, computer science and sociology. This course (we are showing the whole course over the next few weeks) aims at providing an introduction to this interdisciplinary field o
From playlist Oxford Mathematics Student Lectures - Networks
Percolation of sign clusters for the Gaussian free field I - Pierre-Francois Rodriguez
Special Probability Seminar Topic: Percolation of sign clusters for the Gaussian free field I Speaker: Pierre-Francois Rodriguez Affiliation: University of California Date: May 10, 2018 For more videos, please visit http://video.ias.edu
From playlist Mathematics
Igor Kortchemski: Condensation in random trees - Lecture 3
We study a particular family of random trees which exhibit a condensation phenomenon (identified by Jonsson & Stefánsson in 2011), meaning that a unique vertex with macroscopic degree emerges. This falls into the more general framework of studying the geometric behavior of large random dis
From playlist Probability and Statistics
Random walks in growing domains - recurrence vs transienc by Vladas Sidoravicius
PROGRAM :UNIVERSALITY IN RANDOM STRUCTURES: INTERFACES, MATRICES, SANDPILES ORGANIZERS :Arvind Ayyer, Riddhipratim Basu and Manjunath Krishnapur DATE & TIME :14 January 2019 to 08 February 2019 VENUE :Madhava Lecture Hall, ICTS, Bangalore The primary focus of this prog
From playlist Universality in random structures: Interfaces, Matrices, Sandpiles - 2019
Rumours, consensus and epidemics on networks (Lecture 2) by A Ganesh
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 r
From playlist Advances in Applied Probability 2019
Courses - R. SUN "Brownian web, Brownian net, and their universality"
The Brownian web is the collection of one-dimensional coalescing Brownian motions starting from every point in space-time. Originally conceived by Arratia in the context of the one-dimensional voter model and its dual coalescing random walks, the Brownian web has since been shown to arise
From playlist T1-2015 : Disordered systems, random spatial processes and some applications
A PDE approach to scaling limit of random interface models on Z^d by Rajat Subhra Hazra
PROGRAM :UNIVERSALITY IN RANDOM STRUCTURES: INTERFACES, MATRICES, SANDPILES ORGANIZERS :Arvind Ayyer, Riddhipratim Basu and Manjunath Krishnapur DATE & TIME :14 January 2019 to 08 February 2019 VENUE :Madhava Lecture Hall, ICTS, Bangalore The primary focus of this program will be on the
From playlist Universality in random structures: Interfaces, Matrices, Sandpiles - 2019
Markov processes and applications-3 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
Random Walks (Lecture - 01) by Abhishek Dhar
Bangalore School on Statistical Physics - VIII DATE: 28 June 2017 to 14 July 2017 VENUE: Ramanujan Lecture Hall, ICTS, Bengaluru This advanced level school is the eighth in the series. This is a pedagogical school, aimed at bridging the gap between masters-level courses and topics in s
From playlist Bangalore School on Statistical Physics - VIII
UNIFORM Probability Distribution for Continuous Random Variables (10-2)
The Uniform Distribution models events or intervals that are equally likely to occur, such as the time spent waiting for a shuttle to arrive. The probability equals the area under the graph of f(x); the height of f(x) is a constant. At his private island, Ted runs a shuttle service tenderi
From playlist Continuous Probability Distributions in Statistics (WK 10 - QBA 237)