Introduces Bayesian estimation, covering classical versus Bayesian inference, conjugate priors, MCMC methods, and practical examples like temperature estimation and choice modeling.
Explores the quasi-stationary distribution approach in molecular dynamics modeling, covering Langevin dynamics, metastability, and kinetic Monte Carlo models.
Explores the convergence of Langevin Monte Carlo algorithms under different growth rates and smoothness conditions, emphasizing fast convergence for a wide class of potentials.
Explores shock waves in medical treatments, including lithotripsy for kidney stones and record-breaking supercomputing performance in computational fluid dynamics.
Explores decentralized load management for local energy communities, showcasing the Adaptricity platform and GridSense technology impact on grid efficiency.
