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- Sharp Minimax Gram-Determinant Asymptotics for Labelled Unit Decompositions of the Identity and Recent Developments on Makai's Conjecture
- Diffusion processes with b∈ L(p,q),loc
- Markov Chain Convergence in Kernel-Induced Geometry
- Fundamental Limits of Covert queueing under Busy-Period Observations
- Interacting Stochastic Systems with Agent-Based Sampling and Connection-Based Reinforcement
- Dimension-free Markov--Bernstein-type inequality for ℝ2-valued polynomials
- Initialization-Dependent Solution Selection by the Euler-Maruyama Scheme for a Degenerate SDE
- Statistical inference for rough Burgers-type stochastic partial differential equations
- Metastable confinement of particle systems near linearly stable McKean-Vlasov equilibria
- An infinite-dimensional representation of Ray-Knight theorems for the Bass-Burdzy flow
- Stationary Ergodic Mean-field Games of Constrained Singular Controls
- Utility-Based Recovery Risk Measures: Redundancy and Approximation for Portfolio Optimization
- Discrete total variation under the multinomial, Part~1: expectation under the uniform null
- Finite-Sample Bounds for Fréchet Means of Dependent Data in Metric Spaces with Curvature Bounded Above
- Higher-Order Gaussian Approximations on Path Space for the Simple Symmetric Exclusion Process
- Time-changed reflected diffusions: subdiffusion, superdiffusion and explosion
- Existence of ergodic invariant measures for 3D Navier-Stokes eqs with superlinear noise
- Weighted derivative estimates for Kolmogorov equations
- Penalizations of Two-Dimensional Simple Random Walk by Direction-Dependent Excursion Counts and Edge-Crossing Counts
- Markovian Random Words, a Gaussian Random Matrix Model and Beyond
- On the composition of permutons
- An efficient stochastic generalized method of moments estimator for nonlinear moment models
- Exact bounds on the distribution function of isotropic log-concave distributions
- Large deviations of the spectral radius of iid subgaussian random matrices
- Robust LassoNet: Enhancing Feature Selection in Neural Networks via Robust Loss Functions