Stochastics

Lec 44: Markov Chains

Prof. Peter Koltai | Takens meets Koopman: Linear least squares prediction of nonlinear time series

Prof. Cecilia Gonzalez-Tokman | Multiplicative Ergodic Theory as a Spectral Tool for Random Dynam...

The Linearly Edge Reinforced Random Walk (ERRW) on Z by Priyadarshini V

Yuzhu Shi | Transition Geometry under Gaussian and Levy Title: Perturbations: Time Coupling and T...

Prof. Jinqiao Duan | Critical transitions in stochastic dynamical systems: from connecting orbits...

Prof. Ilya Pavlyukevich | How to simulate Lévy flights in a steep potential

Prof. Ilya Pavlyukevich | Stochastic Energy-Balance Model with a moving ice line

Sampling from spherical spin glasses: diffusions and simulated annealing

Rare event analysis via stochastic optimal control

Functional Stochastic Localization

Windowed thinning and query complexity for the bouncy particle and Zigzag samplers

Maximilian Engel: Random Dynamical Systems in Deep Neural Networks

James Melbourne

Grigorios A Pavliotis

AI@UCI Workshop on Markov Chains!!

Jinqiao Duan: Tipping Dynamics in Stochastic Dynamical Systems

Jeroen Lamb: Learning random dynamical systems

Shirshendu Ganguly - Polymer models in critical environments - IPAM at UCLA

Catherine Wolfram - Brownian bubble tea - IPAM at UCLA

Andrew Ilersich - Learning Stochastic Multiscale Models of Spatiotemporal Systems

Prof. Vincent Beffara | Schramm-Loewner Evolution 1

Jonathan Miller | Gaussian Free Field 1

Lecture 5: Probability Theory (cont.); Stochastic Processes I

Lecture 24: Stochastic Calculus

Lecture 14: Stochastic Processes II

Ivan Corwin: Extreme Diffusion (October 17, 2025)

Sebastien Roch: Complex Discrete Probability Models in Evolutionary Biology...(April 4, 2025)

"Convergence des modèles de diffusion" par Judith Rousseau

"Convergence of diffusion models" by Judith Rousseau

Dr. William Vickery - Miércoles 13 de agosto - 12:30 hr.

The Strange Math That Predicts (Almost) Anything

Vignette 21 - Continuous time Markov chains

6.8210 Spring 2024 Lecture 19: Stochastic dynamics

6.8210 Spring 2023 Lecture 20: Stochastic dynamics

Cours 18 - Modèles en chaînes de Markov

Mathematical Epidemiology - Lecture 06 - Stochastic aspects in the spread of epidemics

UofM - MATH 2740 - Lecture 23 - Part 2 - Markov chains in R

UofM - MATH 2740 - Lecture 23 - Part 1- Absorbing Markov chains

UofM - MATH 2740 - Lecture 22 - Regular Markov chains

UofM - MATH 2740 - Lecture 21 - Part 2 - Markov chains