Two-Dimensional Gaussian Processes: Testing Procedure Based on Empirical Cross-Covariance Function
Explore testing procedures for 2D Gaussian processes using empirical cross-covariance functions in this mathematical analysis presentation.
Telegraphic Multifractional Brownian Motion and Its Applications
Explore telegraphic multifractional Brownian motion, its applications in biological experiments, and the stochastic process behind smooth telegram processes and trajectories.
Quantitative Homogenization of Interacting Particle Systems
Explore quantitative homogenization of interacting particle systems with Jean-Christophe Mourrat. Gain insights into functional inequalities, optimal transport, and particle systems in this advanced mathematics lecture.
Spectral Properties of Levy Fokker-Planck Equations
Explore spectral properties of Levy Fokker-Planck equations in this mathematical conference talk by Maria del Mar González at CIRM.
Parking on the Infinite Binary Tree
Explore parking dynamics on infinite binary trees, examining mathematical models and implications for probability and geometry in non-Euclidean spaces.
Fractional Gaussian and Stable Random Fields on Fractals
Explore fractional Gaussian and stable random fields on fractals, covering key concepts like covariance functions, stochastic integrals, and Laplace operators.
Random Walks on Simplicial Complexes
Explore random walks on simplicial complexes in this mathematical conference talk, delving into advanced concepts and applications in the field.
The Mean-Field Limit of Non-Exchangeable Integrate and Fire Systems - Continued
Explore advanced mathematical concepts in non-exchangeable integrate and fire systems, focusing on mean-field limits and their applications in particle systems and collective behavior.
Functional Convex Order for Stochastic Processes: A Constructive and Simulable Approach
Explorez la théorie de l'ordre convexe fonctionnel pour les processus stochastiques, avec une approche constructive et simulable présentée par Gilles Pagès.
Markov Chain Curvature and Mixing
Explore Markov chain curvature and its impact on mixing processes in this mathematical analysis of non-smooth spaces and finite dimensions.
Mestrado: Cadeia de Markov - Aula 04
Aprofunde-se nos conceitos avançados de Cadeias de Markov, explorando tópicos selecionados e suas aplicações em pesquisas recentes na área de matemática pura e aplicada.
Mestrado: Cadeia de Markov - Aula 03
Aprofunde-se na teoria de Cadeias de Markov, explorando conceitos avançados e aplicações em pesquisas recentes na área de matemática pura e aplicada.
Mestrado: Cadeia de Markov - Aula 01
Explore conceitos fundamentais de Cadeias de Markov em nível de mestrado, abordando teoria e aplicações em pesquisas recentes na área de matemática pura e aplicada.
Hydrodynamics, Fluctuations, and Universality of Interacting Particle Systems
Explore hydrodynamics, fluctuations, and universality in interacting particle systems with Patrícia Gonçalves at IMPA's 70th anniversary conference, featuring insights from leading mathematicians worldwide.
2019 ADSI Summer Workshop- Algorithmic Foundations of Learning and Control, Yinyu Ye
Explore advancements in online linear programming and learning, focusing on resource allocation, competitive ratios, and dynamic learning applications in control systems.
Game Theoretic Learning and Spectrum Management - Part 2
Explore game theory in signal processing, covering multi-arm bandits, adaptive algorithms, and reinforcement learning for spectrum management and network optimization.
Games of Imperfect Information - Designing Signaling Strategies
Explore strategies for designing signaling in games with asymmetric information, focusing on principal-agent interactions and their applications in real-world scenarios.
Growth and Likelihood in Mathematical Game Theory
Explore mathematical game theory concepts of growth and likelihood with Larry Samuelson in this seminar presentation.
Inference of Utilities and Time Preference in Sequential Decision-Making
Explore utility inference and time preference in sequential decision-making, focusing on mathematical finance applications and advanced analytical techniques.
Ronen Eldan- Revealing the Simplicity of High-Dimensional Objects via Pathwise Analysis
Explore high-dimensional geometry through pathwise analysis, revealing simple structures in complex spaces and their applications in probability theory and statistical physics.
Learning from Dependent Data - Lecture 1
Explore techniques for learning from dependent data, focusing on probabilistic and optimization methods in data science. Gain insights into handling interconnected information effectively.