Statistics
9408 papers in Statistics
Explore Subcategories
TITLE
DATE
VIEWS
Metropolis--Hastings with Scalable Subsampling
By Estevão Prado, Christopher Nemeth, Chris Sherlock · ArXiv: 2407.19602
2026-03-08
0
Approximate learning of parsimonious Bayesian context trees
By Daniyar Ghani, Nicholas A. Heard, Francesco Sanna Passino · ArXiv: 2407.19236
2024-07-27
0
Enhancing Psychometric Analysis with Interactive SIA Modules
By Patrícia Martinková, Jan Netík, Adéla Hladká · ArXiv: 2407.18943
2025-11-04
0
Robust Estimation of Polychoric Correlation
By Max Welz, Patrick Mair, Andreas Alfons · ArXiv: 2407.18835
2025-12-01
0
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
By Steven Adams, Andrea Patanè, Morteza Lahijanian · ArXiv: 2407.18707
2026-03-22
0
Evaluating Organizational Effectiveness: A New Strategy to Leverage Multisite Randomized Trials for Valid Assessment
By Guanglei Hong, Jonah Deutsch, Peter Kress · ArXiv: 2407.18360
2026-03-16
1
Generalizing the Finkelstein-Schoenfeld Test to Incorporate Multiple Alternating Thresholds
By Yunhan Mou, Tassos Kyriakides, Scott Hummel · ArXiv: 2407.18341
2025-11-12
0
Causal generalized linear models via Pearson risk invariance
By Alice Polinelli, Veronica Vinciotti, Ernst C. Wit · ArXiv: 2407.16786
2025-04-10
0
Sparse outlier-robust PCA for multi-source data
By Patricia Puchhammer, Ines Wilms, Peter Filzmoser · ArXiv: 2407.16299
2024-07-23
0
A Randomized Exchange Algorithm for Optimal Design of Multi-Response Experiments
By Pál Somogyi, Samuel Rosa, Radoslav Harman · ArXiv: 2407.16283
2025-06-02
0
Generalized dynamic functional principal component analysis
By Tzung Hsuen Khoo, Issa-Mbenard Dabo, Dharini Pathmanathan · ArXiv: 2407.16024
2026-02-23
0
Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
By José A. Carrillo, Yifan Chen, Daniel Zhengyu Huang · ArXiv: 2407.15693
2026-03-13
0
Weak-instrument-robust subvector inference in instrumental variables regression: A subvector Lagrange multiplier test and properties of subvector Anderson-Rubin confidence sets
By Malte Londschien, Peter Bühlmann · ArXiv: 2407.15256
2026-03-01
0
Minimax estimation of functionals in sparse vector model with correlated observations
By Yuhao Wang, Pengkun Yang, Alex · ArXiv: 2407.14778
2026-03-14
0
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM
By Dimitris Bertsimas, Nicholas A. G. Johnson · ArXiv: 2407.13731
2026-02-04
0
Enhanced inference for distributions and quantiles of individual treatment effects in various experiments
By Zhe Chen, Xinran Li · ArXiv: 2407.13261
2026-03-28
0
Multigrid Monte Carlo Revisited: Theory and Bayesian Inference
By Yoshihito Kazashi, Eike H. Müller, Robert Scheichl · ArXiv: 2407.12149
2026-02-11
0
Factorial Difference-in-Differences
By Yiqing Xu, Anqi Zhao, Peng Ding · ArXiv: 2407.11937
2026-02-03
0
Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy
By Mohammad Zhalechian, Soroush Saghafian, Omar Robles · ArXiv: 2407.11823
2026-01-29
0
ERM-Lasso classification algorithm for Multivariate Hawkes Processes paths
By Charlotte Dion-Blanc, Christophe Denis, Laure Sansonnet · ArXiv: 2407.11455
2024-07-16
0
GenTwoArmsTrialSize: An R Statistical Software Package to estimate Generalized Two Arms Randomized Clinical Trial Sample Size
By Mohsen Soltanifar, Chel Hee Lee, Amin Shirazi · ArXiv: 2407.11342
2024-07-16
0
Have ASkotch: A Neat Solution for Large-scale Kernel Ridge Regression
By Pratik Rathore, Zachary Frangella, Jiaming Yang · ArXiv: 2407.10070
2026-01-27
0
A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- part 1: binary outcomes
By Richard D Riley, Gary S Collins, Rebecca Whittle · ArXiv: 2407.09293
2025-01-24
0
Estimating Methane Emissions from the Upstream Oil and Gas Industry Using a Multi-Stage Framework
By Augustine Wigle, Audrey Beliveau · ArXiv: 2407.08827
2024-07-11
0
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
By Peter Mostowsky, Vincent Dutordoir, Isk · ArXiv: 2407.08086
2026-03-02
0
Granulometric Smoothing on Manifolds
By Diego Bolón, Rosa M. Crujeiras, Alberto Rodríguez-Casal · ArXiv: 2407.07559
2026-02-11
0
Who Goes Next? Optimizing the Allocation of Adherence-Improving Interventions
By Daniel Otero-Leon, Mariel Lavieri, Brian Denton · ArXiv: 2407.06898
2024-07-09
0
Logit unfolding choice models for binary data
By Rayleigh Lei, Abel Rodriguez · ArXiv: 2407.06395
2024-10-11
0
Functional Principal Component Analysis for Sparse Censored Data
By Caitrin Murphy, Eric Laber, Rhonda Merwin · ArXiv: 2407.05543
2026-03-22
0