Annals of applied probability: an official journal of the Institute of Mathematical Statistics

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  Año 2026, Vol. 36, Número 3

  • Largest entries of high-dimensional sample covariance matrix under autoregressive structure: Asymptotic theory and phase transition

    Tiefeng Jiang, Tuan Pham

    págs. 1931-1971

    

  • Time-uniform self-normalized concentration for vector-valued processes

    Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas

    págs. 1972-2013

    

  • Kernel limit for a class of recurrent neural networks trained on ergodic data sequences

    Samuel Chun Hei Lam, Justin Sirignano, Konstantinos Spiliopoulos

    págs. 2014-2067

    

  • On the convergence of dynamic implementations of Hamiltonian Monte Carlo and no U-turn samplers

    Alain Durmus, Samuel Gruffaz, Miika Kailas, Eero Saksman, Matti Vihola

    págs. 2068-2096

    

  • Sharper analysis of the random graph d-process via a balls-in-bins model

    Andrzej Rucinski, Nick Wormald

    págs. 2097-2131

    

  • The asymptotic behavior of fraudulent algorithms

    Michel Benaïm, Laurent Miclo

    págs. 2132-2162

    

  • Loewner theory for Bernstein functions II: Applications to inhomogeneous continuous-state branching processes

    Pavel Gumenyuk, Takahiro Hasebe, Jose Luis Perez

    págs. 2163-2198

    

  • Empirical Bernstein in smooth Banach spaces

    Diego Martinez Taboada, Aaditya Ramdas

    págs. 2199-2236

    

  • Foundations of bare-simulation optimization of distances

    Michel Broniatowski, Wolfgang Stummer

    págs. 2237-2291

    

  • Up-down ordered Chinese restaurant processes with two-sided immigration, emigration and diffusion limits

    Quan Shi, Matthias Winkel

    págs. 2292-2343

    

  • Downward conditional monotonicity gives survival and extinction for contact processes in random environments

    Joseph P. Stover

    págs. 2344-2386

    

  • Uniform-in-time weak propagation of chaos for consensus-based optimization

    Erhan Bayraktar, Ibrahim Ekren, Hongyi Zhou

    págs. 2387-2426

    

  • Intersections of branching random walks on ℤ8

    Zsuzsanna Baran

    págs. 2427-2467

    

  • Functional central limit theorem for the principal eigenvalue of dynamic Erdős–Rényi random graphs

    Rajat Subhra Hazra, Nikolai Kriukov, Michel Mandjes

    págs. 2468-2498

    

  • Quantitative equilibrium fluctuations for interacting particle systems

    Chenlin Gu, Jean-Christophe Mourrat, Maximilian Nitzschner

    págs. 2499-2528

    

  • Convergence of Coordinate Ascent Variational Inference for log-concave measures via optimal transport

    Manuel Arnese, Daniel Lacker

    págs. 2529-2558

    

  • Time correlations in KPZ models with diffusive initial conditions

    Riddhipratim Basu, Xiao Shen

    págs. 2559-2593

    

  • Deep operator BSDE: A numerical scheme to approximate solution operators

    Pere Diaz Lozano, Giulia Di Nunno

    págs. 2594-2625

    

  • On the MCMC performance in Bernoulli group testing and the random max-set cover problem

    Max Lovig, Ilias Zadik

    págs. 2626-2679

    

  • Entropic conditional central limit theorem and Hadamard compression

    Zhi Ming Ma, Liu Quan Yao, Shuai Yuan, Hua Zi Zhang

    págs. 2680-2720

    

  • Sharp connectivity bounds for the vacant set of random interlacements

    Subhajit Goswami, Pierre-François Rodriguez, Yuriy Shulzhenko

    págs. 2721-2751

    

  • On the maximal correlation of some stochastic processes

    Yinshan Chang, Qinwei Chen

    págs. 2752-2787

    

  • Existence and nonuniqueness of ergodic Leray–Hopf solutions to the stochastic power-law flows

    Stefanie Elisabeth Berkemeier

    págs. 2788-2851

    

  • Limit profile for the Bernoulli–Laplace urn via diffusions

    Sam Olesker-Taylor, Dominik Schmid

    págs. 2852-2872