Papers to Appear in Subsequent Issues

When papers are accepted for publication, they will appear below. Any changes that are made during the production process will only appear in the final version. Papers listed here are not updated during the production process and are removed once an issue is published.

Discrete sticky couplings of functional autoregressive processes Alain Durmus, Andreas Eberle, Aurélien Enfroy, Arnaud Guillin, and Pierre Monmarché
The Modified MSA, a Gradient Flow and Convergence Deven Sethi and David Siska
On r-to-p norms of random matrices with nonnegative entries: Asymptotic normality and ℓ∞-bounds for the maximizer Souvik Dhara, Debankur Mukherjee, and Kavita Ramanan
Solving non-Markovian Stochastic Control Problems driven by Wiener Functionals Dorival Leão, Alberto Ohashi, and Francys de Souza
Exploration-exploitation trade-off for continuous-time episodic reinforcement learning with linear-convex models Lukasz Szpruch, Tanut Treetanthiploet, and Yufei Zhang
Azadkia-Chatterjee’s correlation coefficient adapts to manifold data Fang Han and Zhihan Huang
Separation cutoff for Activated Random Walks Justin Salez
Mean-field Analysis for Load Balancing on Spatial Graphs Daan Rutten and Debankur Mukherjee
On Loewner chains driven by semimartingales and complex Bessel-type SDEs Vlad Margarint, Atul Shekhar, and Yizheng Yuan
On high-dimensional wavelet eigenanalysis Benjamin Cooper Boniece, Patrice Abry, Gustavo Didier, and Herwig Wendt
Domain of attraction of the fixed points of Branching Brownian motion Xinxin Chen
The coalescent structure of Galton-Watson trees in varying environments Juan Carlos Pardo Millan, Simon C. Harris, and Sandra Palau
Gibbs Equilibrium Fluctuations of Point Vortex Dynamics Francesco Grotto, Eliseo Luongo, and Marco Romito
Limit theorems for additive functionals of some self-similar Gaussian processes Minhao Hong, Heguang Liu, and Fangjun Xu
Increasing paths in random temporal graphs Nicolas Broutin, Nina Kamcev, and Gabor Lugosi
Continuous-time weakly self-avoiding walk on $\mathbb{Z}$ has strictly monotone escape speed Yucheng Liu
Martingale Transports and Monge Maps Marcel Nutz, Ruodu Wang, and Zhenyuan Zhang
Full $\Gamma$-expansion of reversible Markov chains level two large deviations rate functionals Claudio Landim, Ricardo Misturini, and Federico Sau
Population Dynamics Under Demographic and Environmental Stochasticity Alexandru Hening, Weiwei Qi, Zhongwei Shen, and Yingfei Yi
The Expected Euler Characteristic Approximation to Excursion Probabilities of Gaussian Vector Fields Dan Cheng and Yimin Xiao
Convergence of Population Processes With Small and Frequent Mutations to the Canonical Equation of Adaptive Dynamics Vincent Hass
Stability and statistical inference for semidiscrete optimal transport maps Ritwik Sadhu, Ziv Goldfeld, and Kengo Kato
Survival and Complete Convergence for a Branching Annihilating Random Walk Matthias Birkner, Alice Callegaro, Jiří Černý, Nina Gantert, and Pascal Oswald
Second Errata to “Occupation and Local Times for Skew Brownian Motion With Applications to Dispersion Across an Interface” Thilanka Appuhamillage, Vrushali Bokil, Enrique Thomann, Edward Waymire, and Brian Wood
LDP for Inhomogeneous U-Statistics Sohom Bhattacharya, Nabarun Deb, and Sumit Mukherjee
A Two-Table Theorem for a Disordered Chinese Restaurant Process Jakob E. Björnberg, Cécile Mailler, Peter Mörters, and Daniel Ueltschi
Weak Error Estimates for Rough Volatility Models Peter K. Friz, William Salkeld, and Thomas Wagenhofer
Asymptotics for the Site Frequency Spectrum Associated With the Genealogy of a Birth and Death Process Jason Schweinsberg and Yubo Shuai
Solidarity of Gibbs Samplers: The Spectral Gap Iwona Chlebicka, Krzysztof Łatuszyński, and Blazej Miasojedow
The Critical Beta-splitting Random Tree I: Heights and Related Results David Aldous and Boris Pittel
Contractive Coupling Rates and Curvature Lower Bounds for Markov Chains Francesco Pedrotti
Approximately Optimal Distributed Stochastic Controls Beyond the Mean Field Setting Joe Jackson and Daniel Lacker
Sample-Path Large Deviation Principle for a 2-D Stochastic  Interacting Vortex Dynamics With Singular Kernel Hao Ge
Unadjusted Hamiltonian MCMC with Stratified Monte Carlo Time Integration Nawaf Bou-Rabee and Milo Marsden
$\Lambda$-Wright–Fisher Processes With General Selection and Opposing Environmental Effects: Fixation and Coexistence Fernando Cordero, Sebastian Hummel, and Grégoire Véchambre
Independence Property of the Busemann Function in Exactly Solvable KPZ models Xiao Shen
Stochastic Partial Differential Equations Arising in Self-Organized Criticality Ľubomír Baňas, Benjamin Gess, and Marius Neuß
Sharp Thresholds in Inference of Planted Subgraphs Elchanan Mossel, Jonathan Niles-Weed, Youngtak Sohn, Nike Sun, and Ilias Zadik
Rates in the Central Limit Theorem for Random Projections of Martingales Jérôme Dedecker, Florence Merlevède, and Magda Peligrad
Wilson Lines in the Lattice Higgs Model at Strong Coupling Malin Palö Forsström, Jonatan Lenells, and Fredrik Viklund
High-Dimensional Scaling Limits and Fluctuations of Online Least-Squares SGD With Smooth Covariance Krishnakumar Balasubramanian, Promit Ghosal, and Ye He
The Stochastic Primitive Equations With Non-Isothermal Turbulent Pressure Antonio Agresti, Matthias Hieber, Amru Hussein, and Martin Saal
A Regularized Kellerer Theorem in Arbitrary Dimension Gudmund Pammer , Benjamin Alexander Robinson, and Walter Schachermayer
Nonlinear Semigroups and Limit Theorems for Convex Expectations Jonas Blessing and Michael Kupper
The Effective Strength of Selection in Random Environment Adrian Gonzalez Casanova, Maite Wilke Berenguer, and Dario Spano
Structural results for the Tree Builder Random Walk Janos Englander, Giulio Iacobelli, Gábor Pete, and Rodrigo Ribeiro
Solving McKean-Vlasov SDEs via Relative Entropy Yi Han
Random Probability Measures With Fixed Mean Distributions Francesco Gaffi, Antonio Lijoi, and Igor Pruenster
Convergence of Dirichlet Forms for MCMC Optimal Scaling with Dependent Target Distributions on Large Graphs Ning Ning
The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning Vivek Borkar, Shuhang Chen, Adithya Devraj, Ioannis Kontoyiannis, and Sean Peter Meyn
The Critical Karp–Sipser Core of Random Graphs Thomas Budzinski, Alice Contat, and Nicolas Curien
Uniform Convergence of the Fleming-Viot Process in a Hard-Killing Metastable Case Lucas Journel and Pierre Monmarché