Zihua She, Xiao Wang: KAPPA: Checking the Proofs in Statistics Papers with Lean 4 and Language Model Agents https://arxiv.org/abs/2610.35596 https://arxiv.org/pdf/2610.35596 https://arxiv.org/html/2610.35596
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Nilson Chapagain: QuantileMix: A Python package for quantile g-computation https://arxiv.org/abs/2610.34368 https://arxiv.org/pdf/2610.34368 https://arxiv.org/html/2610.34368
Lukas Sablica, Kurt Hornik: Direct Simulation of Poisson and Newton Kernel Distributions https://arxiv.org/abs/2610.32506 https://arxiv.org/pdf/2610.32506 https://arxiv.org/html/2610.32506
Sinan Y{\i}ld{\i}r{\i}m, Sergei Kucherenko: Sequential Monte Carlo Sampling of Feasible Regions Represented by R-Functions https://arxiv.org/abs/2610.31042 https://arxiv.org/pdf/2610.31042 https://arxiv.org/html/2610.31042
Julian Herold, Markus G\"otz, Alexander Schug: Asynchronous, Generation-Free ABC: Streaming AMIS Reweighting for Heterogeneous Simulator Workloads on HPC https://arxiv.org/abs/2610.29506 https://arxiv.org/pdf/2610.29506 https://arxiv.org/html/2610.29506
Evan Tate Paterson Hughes, Darren J. Wilkinson, Louis Aslett: Efficient Bayesian Filtering and Inference for Integro-Difference Equation Models https://arxiv.org/abs/2610.28170 https://arxiv.org/pdf/2610.28170 https://arxiv.org/html/2610.28170
St\'ephane Chr\'etien, Maryam Hoseini-Behbahani, Guillaume Metzler: Practical Advantages of Online Conformal Prediction for Data Streams https://arxiv.org/abs/2610.27740 https://arxiv.org/pdf/2610.27740 https://arxiv.org/html/2610.27740
Qinyi Wang, Anya Katsevich, Shanyin Tong: Geometry-informed importance sampling for rare events https://arxiv.org/abs/2610.27442 https://arxiv.org/pdf/2610.27442 https://arxiv.org/html/2610.27442
Mingxin Li, Hans Reimann, Timo Schorlepp, Georg Stadler: Beyond exponential tilting: sharp asymptotics and improved importance sampling for rare events https://arxiv.org/abs/2610.27434 https://arxiv.org/pdf/2610.27434 https://arxiv.org/html/2610.27434
Carmen Alicia Liang Zhen, Audrey B\'eliveau, Matthias Schonlau: Visualizing Joint Ranking Distributions in Network Meta-Analysis with Hammock Plots https://arxiv.org/abs/2610.27191 https://arxiv.org/pdf/2610.27191 https://arxiv.org/html/2610.27191
Kelvin M. Leung, Jouni Susiluoto, Regina Eckert, Youssef Marzouk: Exploiting sparse conditional dependence in remote sensing observing systems https://arxiv.org/abs/2610.24710 https://arxiv.org/pdf/2610.24710 https://arxiv.org/html/2610.24710
Hong Ye Tan, Stanley Osher, Yifan Chen: PICKLES: Covariance-Preconditioned Kinetic Langevin Ensemble Sampler https://arxiv.org/abs/2610.24295 https://arxiv.org/pdf/2610.24295 https://arxiv.org/html/2610.24295
Xiaoqian Wang, Daniele Girolimetto: conformalForecast: An R package for sequential conformal prediction in time series https://arxiv.org/abs/2610.21648 https://arxiv.org/pdf/2610.21648 https://arxiv.org/html/2610.21648
Pierre Del Moral, Mathieu Gerber: A perturbation theory for Feynman-Kac models and their particle interpretations https://arxiv.org/abs/2610.21587 https://arxiv.org/pdf/2610.21587 https://arxiv.org/html/2610.21587
Md Golam Moctader, Eemeli A. Eronen, Johannes Niskanen: Reverse Monte Carlo Modelling in Reduced Dimensions https://arxiv.org/abs/2610.20622 https://arxiv.org/pdf/2610.20622 https://arxiv.org/html/2610.20622
Daniel Matsui Smola: MCMC Can See Can't See https://arxiv.org/abs/2610.20020 https://arxiv.org/pdf/2610.20020 https://arxiv.org/html/2610.20020
Ritik Soni, Dootika Vats: SULA: Robust Langevin Sampling via Drift-Diffusion Saturation https://arxiv.org/abs/2610.19670 https://arxiv.org/pdf/2610.19670 https://arxiv.org/html/2610.19670
Atticus Rex, Elizabeth Qian: Analytically Optimal Sample Allocations for Nested Multivariate Multifidelity Control Variate Estimators https://arxiv.org/abs/2610.19371 https://arxiv.org/pdf/2610.19371 https://arxiv.org/html/2610.19371
Federica Milinanni, Tyler Farghly, Jun Yang: Rapid Mixing of Stereographic MCMC for Heavy-Tailed Sampling https://arxiv.org/abs/2610.18513 https://arxiv.org/pdf/2610.18513 https://arxiv.org/html/2610.18513
Johan Larsson, Frederik Fabricius-Bjerre: How to Train Your Intercept: A Comparison of Intercept Update Strategies in Coordinate Descent https://arxiv.org/abs/2610.18043 https://arxiv.org/pdf/2610.18043 https://arxiv.org/html/2610.18043
Giorgio Micaletto: Overlap, Not Moments: Finite-Sample Theory for Bridge Sampling https://arxiv.org/abs/2610.17403 https://arxiv.org/pdf/2610.17403 https://arxiv.org/html/2610.17403
Michael Hobson, Luke Butcher, Lindley Lentati: CLASSO: a practical primal path-following algorithm for the constrained LASSO https://arxiv.org/abs/2610.17024 https://arxiv.org/pdf/2610.17024 https://arxiv.org/html/2610.17024
Killian A. C. Melsen, Fred A. van Eeuwijk, Carel F. W. Peeters: A hybrid GPU/CPU implementation of the average information restricted maximum likelihood algorithm for fitting multivariate lin... https://arxiv.org/abs/2610.16671 https://arxiv.org/pdf/2610.16671 https://arxiv.org/html/2610.16671
Jimmy Huy Tran, Tore Selland Kleppe, Nawaf Bou-Rabee: Locally adaptive step sizes for Hamiltonian Monte Carlo methods https://arxiv.org/abs/2610.16506 https://arxiv.org/pdf/2610.16506 https://arxiv.org/html/2610.16506
Nicolas Dobigeon, Mame Diarra Fall, Eric Barat: Jensen-Bregman split Gibbs sampling https://arxiv.org/abs/2610.15853 https://arxiv.org/pdf/2610.15853 https://arxiv.org/html/2610.15853
Subir Hait: confoundvis for Visualizing and Reporting Sensitivity to Unmeasured Confounding in R https://arxiv.org/abs/2610.13731 https://arxiv.org/pdf/2610.13731 https://arxiv.org/html/2610.13731
Qiyang Wang, Daniel J. Eck: postshock: An R Package for Donor-Adjusted Forecasting After Structural Shocks https://arxiv.org/abs/2610.11841 https://arxiv.org/pdf/2610.11841 https://arxiv.org/html/2610.11841
Larysa Matiukha, Yuhan Ding, Fred J. Hickernell: The Quality of Lattice Sequences for Arbitrary Sample Size https://arxiv.org/abs/2610.10543 https://arxiv.org/pdf/2610.10543 https://arxiv.org/html/2610.10543
Thomas Rusch, Lukas Sablica, Kurt Hornik: Overlapped We Stand, Separated We Fall: Software Approaches to Diagnosing Separation Phenomena in Categorical Response Models https://arxiv.org/abs/2610.09951 https://arxiv.org/pdf/2610.09951 https://arxiv.org/html/2610.09951
Ruiting Tong, Antik Chakraborty, Raghu Pasupathy: Two-Loop Stochastic Mirror Langevin Algorithms for Constrained Sampling https://arxiv.org/abs/2610.09402 https://arxiv.org/pdf/2610.09402 https://arxiv.org/html/2610.09402
Rohan Hemant Chhatre, Chiranjit Dutta, Nalini Ravishanker, Sumanta Basu: Scalable Regularized Vector Multiplicative Error Models for Positive-valued Financial Time Series https://arxiv.org/abs/2610.08443 https://arxiv.org/pdf/2610.08443 https://arxiv.org/html/2610.08443
Jake Hofgard, Michael Lindsey: Efficient Mass Matrix Estimation with Gaussian Cooling https://arxiv.org/abs/2610.04806 https://arxiv.org/pdf/2610.04806 https://arxiv.org/html/2610.04806
L\'eonie Courcoul, H\'el\`ene Jacqmin-Gadda, Antoine Barbieri: The R package LSJM for fitting location-scale joint models for a longitudinal marker and complex survival data https://arxiv.org/abs/2610.03990 https://arxiv.org/pdf/2610.03990 https://arxiv.org/html/2610.03990