Stat.CO Papers

Xu Chen, Wouter Weeda, Thomas E. Nichols, Jelle J. Goeman. [statME]. eTFCE: Exact Threshold-Free Cluster Enhancement via Fast Cluster Retrieval. (Replacement). arxiv.org/abs/2603.03004

Xin-Wei Huang, Saptarshi Chakraborty. [statME]. A Nonparametric Bayesian Local-Global Model for Enhanced Adverse Event Signal Detection in Spontaneous Reporting System Data. (Replacement). arxiv.org/abs/2504.10881

Danilo Costarelli, Michele Piconi, Alessio Troiani. [statCO]. Bayesian Inversion via Probabilistic Cellular Automata: an application to image denoising. (Replacement). arxiv.org/abs/2507.14869

Adriano Meligrana. [csSE]. StreamSampling.jl: Efficient Sampling from Data Streams in Julia. arxiv.org/abs/2603.21996

Anant Mathur, Benoit Liquet, Samuel Muller, Sarat Moka. [statME]. Parsimonious Subset Selection for Generalized Linear Models with Biomedical Applications. arxiv.org/abs/2603.21952

Selva Salimi, David J. Warne, Christopher Drovandi. [statME]. Bayesian inference for ordinary differential equations models with heteroscedastic measurement error. arxiv.org/abs/2603.21549

Arno Strouwen, Peter Goos. [statME]. A Note on the Output of a Coordinate-Exchange Algorithm for Optimal Experimental Design. arxiv.org/abs/2603.21361

Foo Hui-Mean, Yuan-chin I Chang. [csLG]. ALMAB-DC: Active Learning, Multi-Armed Bandits, and Distributed Computing for Sequential Experimental Design and Black-Box Optimization. arxiv.org/abs/2603.21180

Debdeep Pati. [statML]. Stability of Sequential and Parallel Coordinate Ascent Variational Inference. arxiv.org/abs/2603.20929

Daniel Fynn, David Gunawan, Andrew Zammit-Mangion. [statCO]. Neural Inference Functions for Margins for Time Series Copula Models. arxiv.org/abs/2603.21075

Ashwin Renganathan, Annie S. Booth. [statCO]. Surrogate-Guided Adaptive Importance Sampling for Failure Probability Estimation. arxiv.org/abs/2603.20959

Sara Hamis, John Forslund, Cici Chen Gu, Jodie A. Cochrane. [statCO]. A practical introduction to ODE modelling in Stan for biological systems. arxiv.org/abs/2603.20343

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