Variants of random walks

Continuous-time random walk

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).

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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

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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

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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

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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)

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What are Continuous Random Variables? (1 of 3: Relation to discrete data)

More resources available at www.misterwootube.com

From playlist Random Variables

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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

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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

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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

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Networks: Part 6 - Oxford Mathematics 4th Year Student Lecture

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From playlist Oxford Mathematics Student Lectures - Networks

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Percolation of sign clusters for the Gaussian free field I - Pierre-Francois Rodriguez

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From playlist Mathematics

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Random walks in growing domains - recurrence vs transienc by Vladas Sidoravicius

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From playlist Universality in random structures: Interfaces, Matrices, Sandpiles - 2019

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Rumours, consensus and epidemics on networks (Lecture 2) by A Ganesh

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Courses - R. SUN "Brownian web, Brownian net, and their universality"

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From playlist T1-2015 : Disordered systems, random spatial processes and some applications

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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

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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

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From playlist Continuous Probability Distributions in Statistics (WK 10 - QBA 237)

Related pages

Random walk | Fractional calculus | Markov renewal process | Master equation | Jump process | Stochastic | Fourier transform | Laplace transform | Characteristic function (probability theory)