Statistics
8758 papers in Statistics
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TITLE
DATE
VIEWS
Parallel Layer Normalization for Universal Approximation
By Yunhao Ni, Yuxin Guo, Yuhe Liu · ArXiv: 2505.13142
2026-02-09
0
Transportability without Graphs: A Bayesian Approach to Identifying s-Admissible Backdoor Sets
By Konstantina Lelova, Gregory F. Cooper, Sofia Triantafillou · ArXiv: 2505.12801
2026-02-02
0
Deep Generative Modeling with Spatial and Network Images: An Explainable AI (XAI) Approach
By Yeseul Jeon, Rajarshi Guhaniyogi, Aaron Scheffler · ArXiv: 2505.12743
2026-02-05
0
Accelerated Markov Chain Monte Carlo Algorithms on Discrete States
By Bohan Zhou, Shu Liu, Xinzhe Zuo · ArXiv: 2505.12599
2026-02-07
0
Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning
By Liu Ziyin, Yizhou Xu, Isaac Chuang · ArXiv: 2505.12387
2026-02-02
0
Transformers as Unsupervised Learning Algorithms: A study on Gaussian Mixtures
By Zhiheng Chen, Ruofan Wu, Guanhua Fang · ArXiv: 2505.11918
2026-02-07
0
A Physics-Informed Spatiotemporal Deep Learning Framework for Turbulent Systems
By Luca Menicali, Andrew Grace, David H. Richter · ArXiv: 2505.10919
2026-02-09
0
On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating
By Huy Nguyen, Thong T. Doan, Quang Pham · ArXiv: 2505.10860
2026-02-01
0
Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning
By Zijun Chen, Shengbo Wang, Nian Si · ArXiv: 2505.10007
2026-02-01
0
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data
By Antony Sikorski, Michael Ivanitskiy, Nathan Lenssen · ArXiv: 2505.09803
2026-02-10
0
Scaling Gaussian Process Regression with Full Derivative Observations
By Daniel Huang · ArXiv: 2505.09134
2026-02-02
0
Modern Causal Inference Approaches to Improve Power for Subgroup Analysis in Randomized Controlled Trials
By Antonio D'Aless, ro, Jiyu Kim · ArXiv: 2505.08960
2026-02-11
0
Holistic Multi-Scale Inference of the Leverage Effect: Efficiency under Dependent Microstructure Noise
By Ziyang Xiong, Zhao Chen, Christina Dan Wang · ArXiv: 2505.08654
2026-02-10
0
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network
By Bar Weinstein, Daniel Nevo · ArXiv: 2505.08395
2026-02-03
0
Separable models for dynamic signed networks
By Alberto Caimo, Isabella Gollini · ArXiv: 2505.07669
2026-03-04
0
Spatial Confounding in Multivariate Areal Data Analysis
By Kyle Lin Wu, Sudipto Banerjee · ArXiv: 2505.07232
2026-02-12
1
Stability Regularized Cross-Validation
By Ryan Cory-Wright, Andrés Gómez · ArXiv: 2505.06927
2026-02-03
0
GEORCE: A Fast New Control Algorithm for Computing Geodesics
By Frederik Möbius Rygaard, Søren Hauberg · ArXiv: 2505.05961
2026-02-04
0
A computationally efficient framework for realistic epidemic modelling through Gaussian Markov random fields
By Angelos Alexopoulos, Paul Birrell, Daniela De Angelis · ArXiv: 2505.03938
2026-02-06
0
Designing clinical trials for the comparison of single and multiple quantiles with right-censored data
By Beatriz Farah, Olivier Bouaziz, Aurélien Latouche · ArXiv: 2505.03234
2026-03-09
0
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects
By Shu Tamano · ArXiv: 2505.00961
2026-02-01
0
StablePCA: Distributionally Robust Learning of Shared Representations from Multi-Source Data
By Zhenyu Wang, Molei Liu, Jing Lei · ArXiv: 2505.00940
2026-03-07
0
Proper Correlation Coefficients for Nominal Random Variables
By Jan-Lukas Wermuth · ArXiv: 2505.00785
2026-02-04
0
Offline changepoint localization using a matrix of conformal p-values
By Sanjit D, apanthula, Aaditya Ramdas · ArXiv: 2505.00292
2026-02-18
0
Doubly robust augmented weighting estimators for the analysis of externally controlled single-arm trials and unanchored indirect treatment comparisons
By Harlan Campbell, Antonio Remiro-Azócar · ArXiv: 2505.00113
2026-02-11
0
An Axiomatic Approach to Comparing Sensitivity Parameters
By Paul Diegert, Matthew A. Masten, Alex · ArXiv: 2504.21106
2026-02-04
0
Empirical Bernstein and betting confidence intervals for randomized quasi-Monte Carlo
By Aadit Jain, Fred J. Hickernell, Art B. Owen · ArXiv: 2504.18677
2026-02-02
0
Bayesian sample size calculations for external validation studies of risk prediction models
By Mohsen Sadatsafavi, Paul Gustafson, Solmaz Setayeshgar · ArXiv: 2504.15923
2025-05-23
0
Single-loop Algorithms for Stochastic Non-convex Optimization with Weakly-Convex Constraints
By Ming Yang, Gang Li, Quanqi Hu · ArXiv: 2504.15243
2026-02-06
0
Bayesian random-effects meta-analysis of aggregate data on clinical events
By Christian Röver, Qiong Wu, Anja Loos · ArXiv: 2504.12214
2026-02-06
0