Financial Engineering and Loss Reserving - Actuarial Science
Comprehensive actuarial training covering utility theory, financial engineering, and loss reserving, with Excel applications and advanced stochastic processes for insurance professionals.
Pricing Options with Mathematical Models
Explore mathematical models for pricing financial instruments, including stocks, bonds, options, and derivatives. Learn risk-neutral pricing, stochastic processes, and hedging strategies.
Probability and Stochastics for Finance
This course provides the minimum mathematical requirements to study mathematical finance or more precisely the pricing of financial derivatives.
Biophysical Chemistry
Explore protein structure, folding mechanisms, and biophysical techniques. Gain insights into forces driving protein stability, denaturation processes, and experimental methods for studying protein dynamics.
Integral Means Spectrum: Examples of Exact Computation
Explore the multifractal spectrum of harmonic measure and integral-means spectrum of Riemann maps through explicit computations in deterministic and random cases.
Discrete and Continuous Mathematics - MIT Computational Thinking Spring 2021 - Lecture 14
Explore discrete and continuous mathematics, bridging concepts through indexing, function evaluation, area calculation, and random walks in computational thinking.
BMS and All That - Lecture 2
Explore advanced concepts in BMS theory and related mathematical topics through an in-depth lecture by C Heissenberg, expanding on previous discussions.
Theoretical Modeling of Passive and Active Particle Dynamics in Shear Flow
Explore theoretical models of particle dynamics in shear flow, covering both passive and active systems in physics and biology.
Apresentações Finais da III Escola de Verão ICTP-SAIFR para Jovens Físicos
Explore tópicos avançados em física, desde nanomáquinas e matéria escura até computação quântica, com apresentações de jovens pesquisadores em uma escola de verão científica.
Dynamical Phase Transitions in Markov Processes by Hugo Touchette
Explore dynamical phase transitions in Markov processes, contrasting with equilibrium transitions and examining a Brownian motion model showcasing localization-delocalization phenomena.
Chance and Chaos - How to Predict the Unpredictable by Jens Marklof
Explore chaos theory, unpredictability, and mathematical tools for analyzing chaotic systems. Discover applications in weather forecasting, statistical physics, and everyday phenomena like coin tosses and bread kneading.
Order and Patterns in Randomness by Abhishek Dhar
Explore hidden patterns in seemingly random events through examples of Random Walk, Brownian Motion, Statistical Physics, and a card trick. Gain insights into physicists' and mathematicians' approaches.
Generalized Riemann Hypothesis and Brownian Motion - Giuseppe Mussardo
Explore the fascinating connection between number theory and physics, focusing on the Riemann Hypothesis and its relation to Brownian motion through statistical physics perspectives.
Laurent Saloff-Coste - Breaking Heat Kernel Estimates Into Pieces
Breaking heat kernel estimates on Riemannian manifolds by analyzing pieces separately and reconstructing the whole. Explores Brownian motion within segments and transitions between them.
Pathwise Entropy Solutions of SPDEs via Rank-Based Models - SIAM FME Virtual Talk
Explore pathwise entropy solutions for SPDEs, linking stochastic portfolio theory and rank-based models. Uncover probabilistic insights under Brownian motion in this advanced mathematical presentation.
Limit Shapes of Non-Intersecting Brownian Bridges via Harmonic Envelope
Explores limit shapes of non-intersecting Brownian bridges, focusing on macroscopic patterns and connections to random Young tableaux using the tangent plane method and harmonic envelope.
Stochastic Box-Ball System - Convergence to Brownian Motion
Explore the stochastic version of the box-ball system and its convergence to semi-martingale reflecting Brownian motion in this mathematical presentation on discrete-time dynamical systems.
Constrained Stochastic Processes: From Brownian Motion to Run-and-Tumble Particles
Explore constrained stochastic processes, including Brownian motion, Lévy flights, and run-and-tumble particles. Learn effective dynamics for generating constrained trajectories in various scenarios.
Generation of Stochastic Trajectories - Applications to Complex Systems
Explore stochastic trajectory generation and its applications in complex systems, focusing on interdisciplinary physics concepts and advanced modeling techniques.
Random Maps and Random 2-Dimensional Geometries
Explore random maps and 2D geometries, examining scaling limits, combinatorial tools, and connections to conformal random fields. Gain insights into discrete random metric surfaces and their convergence properties.
Cox Construction: A Random Walk in the Land of Stochastic Analysis and Numerical Probability
Explore stochastic analysis and numerical probability through Cox Construction in this insightful conference talk by Philip Protter at CIRM's thematic meeting.