Stat.CO Papers

Dhorasso Temfack, Jason Wyse. [statME]. Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation. (Replacement). arxiv.org/abs/2512.05650

Zejin Gao, Ksheera Sagar, Anindya Bhadra. [statME]. An Order of Magnitude Time Complexity Reduction for Gaussian Graphical Model Posterior Sampling Using a Reverse Telescoping Block Decomposition. (Replacement). arxiv.org/abs/2509.26385

Simon Dirmeier, Antonietta Mira, Carlo Albert. [csLG]. Simulation-based Inference with the Python Package sbijax. (Replacement). arxiv.org/abs/2409.19435

Tiffany Cai, Philip Greengard, Ben Goodrich, Andrew Gelman. [statME]. Approximate posterior recalibration. arxiv.org/abs/2603.20068

Uche Mbaka, Michelle Carey. [statME]. Estimation of Multivariate Functional Principal Components from Sparse Functional Data. arxiv.org/abs/2603.19799

Zeyu Ding, Katja Ickstadt, Nadja Klein, Alexander Munteanu, Simon Omlor. [csLG]. Scalable Learning of Multivariate Distributions via Coresets. arxiv.org/abs/2603.19792

Yingying Yang, Xiaotian Chen, Jie Yang. [statME]. A-optimal Designs under Generalized Linear Models. (Replacement). arxiv.org/abs/2507.23240

Baptiste Simandoux, Nikolas Kantas, Dan Crisan. [statCO]. Smoothness and other hyperparameter estimation for inverse problems related to data assimilation. (Replacement). arxiv.org/abs/2602.18328

Samuel Ofosu Mensah, Maria Camila Roa Carvajal, Kerol Djoumessi, Philipp Berens. [csCV]. Towards Interpretable Foundation Models for Retinal Fundus Images. arxiv.org/abs/2603.18846

Uche Mbaka (University College Dublin), Jiguo Cao (Simon Fraser University), Michelle Carey (University College Dublin). [statME]. Estimation of Functional Principal Components from Sparse Functional Data. arxiv.org/abs/2603.18833

Fenglian Pan, Yinwei Zhang, Yili Hong, Larry Head, Jian Liu. [csAI]. A Computationally Efficient Learning of Artificial Intelligence System Reliability Considering Error Propagation. arxiv.org/abs/2603.18201

Berent {\AA}. S. Lunde, Maximilian Ramgraber. [statCO]. Adaptive Nonlinear Data Assimilation through P-Spline Triangular Measure Transport. arxiv.org/abs/2603.19058

Adrian Seyboldt, Eliot L. Carlson, Bob Carpenter. [statCO]. Preconditioning Hamiltonian Monte Carlo by minimizing Fisher Divergence. arxiv.org/abs/2603.18845

Fl\'avio B. Gon\c{c}alves, Marcos O. Prates, Gareth O. Roberts. [statCO]. Bridging Theory and Practice in Efficient Gaussian Process-Based Statistical Modeling for Large Datasets. arxiv.org/abs/2603.18324

Mo Li, QiQi Lu, Robert Lund, Xueheng Shi. [statAP]. Genetic Algorithms in Regression. (Replacement). arxiv.org/abs/2603.14801

Gunjan Auti, Hirofumi Daiguji, Gouhei Tanaka. [nlinAO]. Hebbian Physics Networks: A Self-Organizing Computational Architecture Based on Local Physical Laws. (Replacement). arxiv.org/abs/2507.00641

Selina Carter, Arun K Kuchibhotla. [statML]. Statistical Inference for Online Algorithms. (Replacement). arxiv.org/abs/2505.17300

Wolfgang Hoegele. [mathDS]. A Full-Density Approach to Simulating Random Iteration Equations with Applications. arxiv.org/abs/2603.17466

James Banks, Thomas Glinnan, Tatiana Komarova. [econEM]. Bounds on inequality with incomplete data. (Replacement). arxiv.org/abs/2512.07709

Xiahui Li, Fergus J. Chadwick, Ben Swallow. [statME]. Gradient-Based Approximate Bayesian Inference with Entropy-Optimized Summary Statistics for Compartmental Models. (Replacement). arxiv.org/abs/2408.03415