Conditional Propagation of Chaos for Generalized Hawkes Processes
Explore conditional propagation of chaos in generalized Hawkes processes with Eva Löcherbach's mathematical analysis of stochastic systems and numerical probability.
Borel Asymptotic Dimension and Hyperfiniteness
Explorez les liens entre la dimension asymptotique de Borel et l'hyperfini dans la théorie des groupes mesurés et la combinatoire borélienne.
Typicality and Entropy of Processes on Infinite Trees
Explore typicality and entropy of processes on infinite trees with Ágnes Backhausz in this mathematical conference talk from CIRM's Audiovisual Mathematics Library.
Arithmetic Statistics: Concepts and Applications
Explore arithmetic statistics through an in-depth lecture, covering key concepts and recent developments in this mathematical field.
Exploring a Terrain with Random Direction Changes
Explore stochastic modeling of an explorer's movement in inhomogeneous environments, analyzing delay equations and their implications for swarm behavior and aggregation transitions.
Total Positivity and Determinantal Inequalities
Explore total positivity and determinantal inequalities in mathematics, focusing on advanced concepts and their applications in various fields.
Random Walks on Groups - Part 2
Explore advanced concepts of random walks on groups, focusing on mathematical dynamics and probabilistic methods in group theory.
Random Walks on Groups - Part 3
Explore advanced concepts of random walks on groups, focusing on mathematical theories and applications in dynamics on surfaces.
Random Walks on Groups - Part 1
Explore fundamental concepts and applications of random walks on groups in this comprehensive mathematical lecture.
Combination: Meaning and Algebra of Combination
Master combination concepts, including factorials and algebraic operations, to enhance your understanding of permutations and combinations in mathematics.
A New Method to Simulate Point Processes
Explore an innovative approach for simulating point processes, enhancing understanding of stochastic modeling techniques.
A Fluid-Based Model for Single-Cell Migration
Explore a deterministic model of single-cell migration using fluid dynamics and molecular interactions. Analyze static and motile behaviors through mathematical and numerical approaches.
The Extremal Point Process of Branching Brownian Motion in Rd
Explore the behavior of particles in multidimensional branching Brownian motion, focusing on extremal points and their distribution over time.
Time-Reversal of the Spine of Branching Processes Near Stationarity
Explore homogenization in time-reversed spine processes for branching processes approximating PDEs at stationarity, with focus on biological applications.
Fluctuation Limits for Mean-Field Interacting Nonlinear Hawkes Processes
Explore fluctuation limits in mean-field interacting nonlinear Hawkes processes, delving into advanced mathematical concepts and their applications.
Maximally Predictive Ensemble Dynamics from Data
Explore maximally predictive ensemble dynamics, uncovering data-driven insights for complex system analysis and forecasting.
Marked Point Process Modeling and Estimation Problems in Neural Data Analysis
Explore marked point process modeling and estimation techniques for analyzing neural data, focusing on advanced statistical approaches in neuroscience research.
Statistical Models: Linking Data to Theory - Class 7
Explore statistical models linking data to theory, focusing on typical sets, Markov chains, and Hamiltonian samplers in quantitative ecology.
Components of Meandric Systems and the Infinite Noodle
Explore meandric systems and the infinite noodle concept, delving into mathematical components and their implications in combinatorial theory.
Markov Random Fields, Markov Chains, and Markov Logic Networks - Probabilistic Graphical Models Tutorial
Explore Markov Random Fields, Logic Networks, and Chains. Dive into probabilistic graphical models with Professor Simari, covering key concepts and applications in AI and machine learning.
Monte Carlo Models for Pi Calculation and Buckling Structures - Lecture
Explore Monte Carlo methods for estimating pi and analyzing structural buckling, covering random number generation and statistical analysis techniques.