YoVDO

Probabilistic Parking Functions - Exploring Randomness in Combinatorics

Offered By: USC Probability and Statistics Seminar via YouTube

Tags

Probability Theory Courses Discrete Mathematics Courses Combinatorics Courses Phase Transitions Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the extension of classical parking functions through a probabilistic parking protocol in this 48-minute USC Probability and Statistics Seminar talk. Delve into the properties of preference vectors as parking functions and examine the impact of the probabilistic parameter p. Discover a sharp transition in parking statistics when p=1/2 and learn how these findings connect to other combinatorial phenomena. Gain insights from the speaker's joint work with Irfan Durmic, Alex Han, Pamela E. Harris, and Rodrigo Ribeiro. If time allows, hear about newer thoughts and potential future research directions in this fascinating area of probability and combinatorics.

Syllabus

Mei Yin: Probabilistic parking functions (Denver)


Taught by

USC Probability and Statistics Seminar

Related Courses

Science & Cooking: From Haute Cuisine to Soft Matter Science (chemistry)
Harvard University via edX
Chemistry: Concept Development and Application Part II
Rice University via Coursera
Statistical Mechanics: Algorithms and Computations
École normale supérieure via Coursera
General Chemistry: Concept Development and Application
Rice University via Coursera
Thermodynamique : fondements
École Polytechnique Fédérale de Lausanne via Coursera