Stochastic processes

Quasi-stationary distribution

In probability a quasi-stationary distribution is a random process that admits one or several absorbing states that are reached almost surely, but is initially distributed such that it can evolve for a long time without reaching it. The most common example is the evolution of a population: the only equilibrium is when there is no one left, but if we model the number of people it is likely to remain stable for a long period of time before it eventually collapses. (Wikipedia).

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Uniform Probability Distribution Examples

Overview and definition of a uniform probability distribution. Worked examples of how to find probabilities.

From playlist Probability Distributions

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The Normal Distribution (1 of 3: Introductory definition)

More resources available at www.misterwootube.com

From playlist The Normal Distribution

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Non Normal Distributions

Intro to non normal distributions. Several examples including exponential and Weibull.

From playlist Probability Distributions

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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

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OCR MEI Statistics 2 2.01 Introducing the Poisson Distribution

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From playlist [OLD SPEC] TEACHING OCR MEI STATISTICS 2 (S2)

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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

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Some questions around quasi-periodic dynamics – Bassam Fayad & Raphaël Krikorian – ICM2018

Dynamical Systems and Ordinary Differential Equations Invited Lecture 9.2 Some questions around quasi-periodic dynamics Bassam Fayad & Raphaël Krikorian Abstract: We propose in these notes a list of some old and new questions related to quasi-periodic dynamics. A main aspect of quasi-per

From playlist Dynamical Systems and ODE

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Nonequilibrium Extension of the Third Law of Thermodynamics by Christian Maes

DISCUSSION MEETING : STATISTICAL PHYSICS OF COMPLEX SYSTEMS ORGANIZERS : Sumedha (NISER, India), Abhishek Dhar (ICTS-TIFR, India), Satya Majumdar (University of Paris-Saclay, France), R Rajesh (IMSc, India), Sanjib Sabhapandit (RRI, India) and Tridib Sadhu (TIFR, India) DATE : 19 December

From playlist Statistical Physics of Complex Systems - 2022

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A disordered open long-range exclusion process by Arvind Ayyer

Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst

From playlist Large deviation theory in statistical physics: Recent advances and future challenges

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Quasi-static hydrodynamic limits by Stefano Olla

DISCUSSION MEETING : HYDRODYNAMICS AND FLUCTUATIONS - MICROSCOPIC APPROACHES IN CONDENSED MATTER SYSTEMS (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, India), Keiji Saito (Keio University, Japan) and Tomohiro Sasamoto (Tokyo Institute of Technology, Japan) DATE : 06 September 2021 to 1

From playlist Hydrodynamics and fluctuations - microscopic approaches in condensed matter systems (ONLINE) 2021

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Non-unique Steady States in Birth Death Diffusion Processes by Pradeep K Mohanty

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From playlist Statistical Physics: Recent advances and Future directions (ONLINE) 2022

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Courses - G. JONA LASINIO “Macroscopic Fluctuation Theory”

Stationary non-equilibrium states describe steady flows through macroscopic systems. Although they represent the simplest generalization of equilibrium states, they exhibit a variety of new phenomena. Within a statistical mechanics approach, these states have been the subject of several th

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

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Colloquium MathAlp 2018 - Christian Gérard

Aspects de la théorie quantique des champs en espace-temps courbe La théorie quantique des champs est formulée d'habitude sur l'espace-temps plat de Minkowski. L'extension de ce cadre à des espaces-temps généraux permet de mettre en lumière de nouveaux phénomènes quantiques qui surviennen

From playlist Colloquiums MathAlp

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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

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[T1 2022] Coralie Fritsch - Quasi-stationary behavior for the Crump-Young model of chemostat

Joint work with Bertrand Cloez. The Crump-Young model consists of two fully coupled stochastic processes modeling the substrate and micro-organisms dynamics in a chemostat. The substrate evolves follo-wing an ordinary di˙erential equation, depending on the micro-organisms number. Micro-or

From playlist [T1 2022] Workshop - Mathematical models in ecology and evolution - March 21st to 25th, 2022

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Anomalous spin diffusion in one-dimensional antiferromagnets by Jacopo De Nardis

PROGRAM THERMALIZATION, MANY BODY LOCALIZATION AND HYDRODYNAMICS ORGANIZERS: Dmitry Abanin, Abhishek Dhar, François Huveneers, Takahiro Sagawa, Keiji Saito, Herbert Spohn and Hal Tasaki DATE : 11 November 2019 to 29 November 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore How do is

From playlist Thermalization, Many Body Localization And Hydrodynamics 2019

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Nicolas Perkowski: Lecture #1

This is the first lecture on "A Markovian perspective on some singular SPDEs" taught by Professor Nicolas Perkowski. For more materials and slides visit: https://sites.google.com/view/oneworld-pderandom/home

From playlist Summer School on PDE & Randomness

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Tutorial: Time Series Analysis - Matthew Graham - 6/24/2019

AstroInformatics 2019 Conference: Data Science and X-informatics http://astroinformatics2019.org/

From playlist AstroInformatics 2019 Conference

Related pages

Quasi-birth–death process | Almost surely | Voter model | Transition kernel | Hausdorff space | Branching process