Statistics
8328 papers in Statistics
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TITLE
DATE
VIEWS
Kernel Methods for Stochastic Dynamical Systems with Application to Koopman Eigenfunctions: Feynman-Kac Representations and RKHS Approximation
By Boumediene Hamzi, Houman Owhadi, Umesh Vaidya · ArXiv: 2603.01077
2026-03-01
0
A New Look at the Visual Performance of Nonparametric Hazard Rate Estimators
By Olaf Gefeller, Nils Lid Hjort · ArXiv: 2603.00794
2026-02-28
0
Causal Inference with MNAR Self-Masking Confounders: A Stratified Delta-Imputed Propensity Estimation Method
By Md. Niamul Islam Sium, Mohammad Hridoy Patwary · ArXiv: 2603.00343
2026-02-27
1
Dynamic Proximal Gradient Algorithms for Schatten-$p$ Quasi-Norm Regularized Problems
By Weiping Shen, Linglingzhi Zhu, Yaohua Hu · ArXiv: 2603.00333
2026-02-27
0
Anticorruption Enforcement and Sale Mechanism Choice in China's Land Market
By Julia Manso · ArXiv: 2603.00291
2026-02-27
0
Bayesian Profile Regression using Variational Inference to Identify Clusters of Multiple Long-Term Conditions Conditioning on Mortality in Population-Scale Data
By James Rafferty, Keith R Abrams, Munir Pirmohamed · ArXiv: 2602.24038
2026-02-27
1
Predictive Hotspot Mapping for Data-driven Crime Prediction
By Karthik Sriram, Ankur Sinha, Suvashis Choudhary · ArXiv: 2602.23750
2026-02-27
0
Data-Efficient Generative Modeling of Non-Gaussian Global Climate Fields via Scalable Composite Transformations
By Johannes Brachem, Paul F. V. Wiemann, Matthias Katzfuss · ArXiv: 2602.23311
2026-02-26
0
Randomization Tests in Switchback Experiments
By Jizhou Liu, Liang Zhong · ArXiv: 2602.23257
2026-02-26
2
Titanic overconfidence -- dark uncertainty can sink hybrid metrology for semiconductor manufacturing
By Ronald G. Dixson, Adam L. Pintar, R. Joseph. Kline · ArXiv: 2602.23131
2026-02-26
0
Semiparametric Joint Inference for Sensitivity and Specificity at the Youden-Optimal Cut-Off
By Siyan Liu, Qinglong Tian, Chunlin Wang · ArXiv: 2602.23045
2026-02-26
0
Beyond NNGP: Large Deviations and Feature Learning in Bayesian Neural Networks
By Katerina Papagiannouli, Dario Trevisan, Giuseppe Pio Zitto · ArXiv: 2602.22925
2026-02-26
1
Flow Matching is Adaptive to Manifold Structures
By Shivam Kumar, Yixin Wang, Lizhen Lin · ArXiv: 2602.22486
2026-02-25
4
Confidence in confidence distributions!
By Céline Cunen, Nils Lid Hjort, Tore Schweder · ArXiv: 2602.22178
2026-02-25
0
Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
By Ilias Diakonikolas, Giannis Iakovidis, Daniel M. Kane · ArXiv: 2602.22130
2026-02-25
0
Probing the Geometry of Diffusion Models with the String Method
By Elio Moreau, Florentin Coeurdoux, Grégoire Ferre · ArXiv: 2602.22122
2026-02-25
0
Coarsening Bias from Variable Discretization in Causal Functionals
By Xiaxian Ou, Razieh Nabi · ArXiv: 2602.22083
2026-02-25
0
Robust Model Selection for Discovery of Latent Mechanistic Processes
By Jiawei Li, Nguyen Nguyen, Meng Lai · ArXiv: 2602.22062
2026-02-25
0
Stochastic Optimal Control with Side Information and Bayesian Learning
By Johannes Milz, Alex, er Shapiro · ArXiv: 2602.22047
2026-02-25
0
Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized Data
By Jiacan Gao, Xinyan Su, Mingyuan Ma · ArXiv: 2602.22021
2026-02-25
0
Neural solver for Wasserstein Geodesics and optimal transport dynamics
By Hailiang Liu, Yan-Han Chen · ArXiv: 2602.22003
2026-02-25
0
Design-based theory for causal inference from adaptive experiments
By Xinran Li, Anqi Zhao · ArXiv: 2602.21998
2026-02-25
1
Estimation of the complexity of a network under a Gaussian graphical model
By Nabaneet Das, Thorsten Dickhaus · ArXiv: 2602.21969
2026-03-04
0
Bayesian Generative Adversarial Networks via Gaussian Approximation for Tabular Data Synthesis
By Bahrul Ilmi Nasution, Mark Elliot, Richard Allmendinger · ArXiv: 2602.21948
2026-02-25
0
Learning Unknown Interdependencies for Decentralized Root Cause Analysis in Nonlinear Dynamical Systems
By Ayush Mohanty, Paritosh Ramanan, Nagi Gebraeel · ArXiv: 2602.21928
2026-02-25
0
Comparative Evaluation of Machine Learning Models for Predicting Donor Kidney Discard
By Peer Schliephacke, Hannah Schult, Leon Mizera · ArXiv: 2602.21876
2026-02-25
0
Scalable Kernel-Based Distances for Statistical Inference and Integration
By Masha Naslidnyk · ArXiv: 2602.21846
2026-02-25
0
p-Hacking Inflates Type I Error Rates in the Error Statistical Approach but not in the Formal Inference Approach
By Mark Rubin · ArXiv: 2602.21792
2026-03-03
0
Generalisation of RLHF under Reward Shift and Clipped KL Regularisation
By Kenton Tang, Yuzhu Chen, Fengxiang He · ArXiv: 2602.21765
2026-02-25
0