We meet a.e. Friday, 3:30pm-4:30pm, Room 512 WWH
If you want to give a talk, contact Dmytro by email:
karabash at cims dot nyu dot edu
Please submit the titles of your talks.
Beyond the Gaussian Universality Class
Ivan Corwin (Microsoft Research and MIT)
Abstract: The Gaussian central limit theorem says that for a wide class of stochastic systems, the bell curve (Gaussian distribution) describes the statistics for random fluctuations of important observables. In this talk I will look beyond this class of systems to a collection of probabilistic models which include random growth models, polymers ,particle systems, matrices and stochastic PDEs, as well as certain asymptotic problems in combinatorics and representation theory. I will explain in what ways these different examples all fall into a single new universality class with a much richer mathematical structure than that of the Gaussian. No background necessary and questions during and after the talk are greatly encouraged!
Stability of Hawkes Process
Dmytro Karabash
Abstract:
Probability Models Arising in De Novo Genome Assembly Problem
Mikhail Dvorkin (Algorithmic Biology Lab, St. Petersburg Academic University)
Abstract: Genome assembly is the process of reconstructing a very long genome (a string over the alphabet {A, C, G, T}) from its short known substrings called reads, some of which may contain errors. We will discuss underlying models, and discover a heuristic to reduce the size of the graph corresponding to the reads.
CSPS is attending Thinking Ahead - Courant Career Workshop
No talk due to Thinking Ahead - Courant Career Workshop
No talk due to Thinking Ahead - Courant Career Workshop
CSPS is attending Northeast Probability Seminar
No talk due to Northeast Probability Seminar
No talk due to Northeast Probability Seminar
Happy Turkey Day!
No talk due to Thankgiving!
No talk due to Thankgiving!
Large Deviations for Hawkes Process
Ling Zhu
Abstract:Hawkes process is a self-exciting process that has been extensively studied and applied in various fields, especially in the case of linear rate. In this talk, I will establish a large deviation principle of nonlinear Markovian Hawkes process, i.e. with nonlinear rate function and exponential or sum of exponentials exciting function. Then, I will state and talk the ideas of the proof of a process-level, i.e. level-3 large deviation principle for general nonlinear Hawkes process.
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