Metastability and Phase Transitions

Related lectures (29)

Page 3 of 3

Covers GFF convergence and the six vertex model's phase transitions.

Covers the basics of probability theory, random variables, joint probability, and inference.

Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.

Covers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.

Explores the probability of complementary events and unions, with examples on dice rolls and number selection.

Covers properties and calculations related to the normal distribution, including probabilities and quantiles.

Explores risk evaluation, equivalent value, and insurance premium in lotteries, as well as discount rate adjustments.

Introduces the key concepts of convexity and its applications in different fields.

Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.