
Explore discrete Markov chains with particle interactions, focusing on lozenge tilings and their asymptotic behavior using holomorphic observables.

Explore robust estimation in sparse linear models with corrupted observations and heavy-tailed noise. Learn adaptive procedures for optimal signal estimation and sub-Gaussian deviations.

Explore Ramsey graphs and the proof of the Erdös-McKay Conjecture, focusing on edge-statistics and anticoncentration in these unique graph structures.

Explore integral Varadhan formula for nonlinear heat flow on measured Finsler manifolds, examining particle probability and distance relationships in geometric analysis.

Explore formulas for binomial, geometric, Poisson, uniform, and exponential probability distributions. Master key concepts to solve statistical problems effectively.

Explore Kurdyka-Łojasiewicz exponents in L1-regularized optimization, focusing on Hadamard difference parametrization and its impact on local convergence rates of gradient methods.

Explore limit theorems for Gromov-hyperbolic group representations, examining statistical results analogous to random matrix products theory for spherical averages in the S-metric.

Explore a non-symmetric version of Kesten's criterion for random walks on countable groups, relating to amenability and probability of return to identity.

Explore advanced topics in free probability theory, focusing on joint behavior of independent random tensor matrices and symmetry groups, with applications in matrix analysis.

Explore advanced topics in free probability theory, focusing on joint behavior of independent random tensor matrices and symmetry groups, with applications in matrix analysis.

Explore functional relations between generating series of cumulants and moments in higher order free probability. Gain insights into matrix models and topological recursion.

Explore joint behavior of independent random tensor matrices with smaller symmetry groups. Learn about tensor structures, generalizations of free probability, and new analytical techniques.

Explore stationary measures of compound Markov chains, focusing on examples using boundary processes of random walks on the modular group PSL(2,Z) and related classical constructions.

Explore constrained stochastic processes, including Brownian motion, Lévy flights, and run-and-tumble particles. Learn effective dynamics for generating constrained trajectories in various scenarios.

Explore harmonic maps and random walks on countable groups, focusing on CAT(0) spaces and group actions with zero escape rate.

Explore Cayley's Formula's simplest proof and its statistical mechanics connection in this insightful lecture by Alexei Rebenko from the National Academy of Sciences, Kiev.

Explore statistical properties of quadratic family dynamics, including almost sure invariance principle and its implications for ergodic averages and fractional response.

Explore dynamical subsets in iterated function systems with Henna Koivusalo's in-depth analysis of rare events in dynamical systems.

Explore rare events point processes in infinite measure dynamical systems, focusing on hitting and return time statistics and their applications to Manneville-Pommeau maps.

Explore the behavior of infinite horizon Lorentz gas, focusing on chaotic dynamics, long flights, and non-standard scaling in limit theorems for billiard particle positions.

Explore quantitative recurrence in Z-extension of Axiom A flows, focusing on first return time behavior and applications to geodesic flows on Z-cover of compact surfaces.