
Comprehensive exploration of advanced process control techniques, covering linearization, modeling, stability analysis, stochastic processes, and control design methods for complex industrial systems.

Explore stochastic processes, Markov chains, risk modeling, and survival analysis in actuarial science. Learn key concepts and tackle past exam questions using R for practical applications.

Explore set-valued backward stochastic differential equations and martingale representation, connecting dynamic risk measures to advanced probability theory concepts.

Explore the efficiency of multiple intermediate compartments in maintaining cell populations, minimizing clonality, and optimizing division rounds from progenitors to product cells.

Explore the intersection of physics and biology, uncovering mathematical frameworks for understanding life, time, and probability. Discover how chance governs cellular behavior and impacts complex biological phenomena.

Explore stochastic learning dynamics and generalization in neural networks, uncovering key insights into their behavior and performance in various applications.

Comprehensive exploration of financial derivatives, risk management, and option pricing, covering forwards, futures, hedging strategies, portfolio theory, interest rates, and stochastic processes.

The course introduces the concept of probability through Kolmogorov’s Axioms. It develops the concept of probability density function, cumulative distribution function, and introduces the concept of a random variable.

Explore the fascinating history of random walks in mathematics, from mosquito control to AI, and their impact on various fields including physics, finance, and theology.

Explore dependent stopping times in credit risk theory, covering Cox construction, instantaneous default, and systemic risk measures in financial markets.

Comprehensive exploration of advanced signal processing concepts, including probability theory, random variables, stochastic processes, and spectral analysis for electrical engineering applications.

Explore the continuum limit of Moran birth-death and death-birth processes, focusing on Fisher-wave speeds in this 28-minute lecture by Kamran Kaveh from Harvard University. Delve into advanced concepts in mathematical oncology and computational medicine…

Explore a 33-minute lecture on mathematical modeling of blood cancer and premalignancy presented by Morten Andersen and Jordan Snyder from Roskilde University. Delivered on October 3, 2024, as part of the Ecology and Evolution of Cancer series and the Th…

Explore a 39-minute lecture on estimating clonal dynamics through coalescent theory and branching processes, delivered by Kit Curtius from the University of California, San Diego. Delve into the intersection of mathematics and oncology as part of the Fie…

Explore the Peres-Tetali conjecture and its implications for Markov chains in this 57-minute lecture by Justin Salez from the Hausdorff Center for Mathematics. Delve into the relationship between contraction in Wasserstein distance and relative entropy f…

Explore genetic composition in supercritical branching populations, focusing on power law mutation rates and their implications for evolutionary dynamics.

Explore branching processes and their application to network cascades, gaining insights into complex system dynamics and interdisciplinary physics concepts.

Explore conditioned exit measures of non-local branching processes in this mathematical conference talk by Emma Horton at CIRM.

Explore accessibility percolation in the rough Mount Fuji model through a mathematical conference talk by Matt Roberts at CIRM.

Explore critical branching killed Levy processes, focusing on extinction time and maximal displacement in this mathematical analysis.

Explore universal geometric representations of far-future beliefs in deep neural networks trained on next-token prediction, uncovering fractal and quantum-like structures embedded in network activations.