Skip to product information
1 of 1

Applied Probability and Stochastic Processes

Applied Probability and Stochastic Processes

This course is intended for doctoral students and discusses topics in applied probability. This includes a variety of fields, namely statistical physics (local weak convergence and correlation decay), artificial intelligence (belief propagation algorithms), computer science (random K-SAT problem, coloring, average case complexity) and electrical engineering (low density parity check (LDPC) codes).

Duration: Not defined

Level: Graduate

Certification: No

Cost: Free

Language: English

Type: Self-Paced




Please note: these courses are provided by external sources, links are not actively managed or regularly updated, content might be moved or unavailable.
View full details