Statistics
9408 papers in Statistics
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TITLE
DATE
VIEWS
Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
By Danlu Zhang, Stephanie M. Eick, Howard H. Chang · ArXiv: 2502.13157
2026-01-29
0
A Diagnostic to Find and Help Combat Stochastic Positivity Issues -- with a Focus on Continuous Treatments
By Katharina Ring, Michael Schomaker · ArXiv: 2502.11820
2025-09-25
0
Here Be Dragons: Bimodal posteriors arise from numerical integration error in longitudinal models
By Tess O'Brien, Matthew T. Moores, David Warton · ArXiv: 2502.11510
2026-02-07
0
Model-assisted inference for dynamic causal effects in staggered rollout cluster randomized experiments
By Xinyuan Chen, Fan Li · ArXiv: 2502.10939
2026-01-29
0
Statistical description and dimension reduction of continuous time categorical trajectories with multivariate functional principal components
By Hervé Cardot, Caroline Peltier · ArXiv: 2502.09986
2026-02-05
0
High-dimensional censored MIDAS logistic regression for corporate survival forecasting
By Wei Miao, Jad Beyhum, Jonas Striaukas · ArXiv: 2502.09740
2026-02-06
0
Summaries as Centroids for Interpretable and Scalable Text Clustering
By Jairo Diaz-Rodriguez · ArXiv: 2502.09667
2026-02-06
0
Generative Modeling with Bayesian Sample Inference
By Marten Lienen, Marcel Kollovieh, Stephan Günnemann · ArXiv: 2502.07580
2026-01-27
0
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
By Jiecheng Lu, Shihao Yang · ArXiv: 2502.07244
2026-02-05
0
Ranking Statistical Experiments via the Linear Convex Order and the Lorenz Zonoid: Economic Applications
By Kailin Chen · ArXiv: 2502.06530
2026-02-01
0
Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence
By Shaopeng Fu, Liang Ding, Jingfeng Zhang · ArXiv: 2502.04204
2026-01-31
1
Consistent model selection in a collection of stochastic block models
By Lucie Arts · ArXiv: 2502.03848
2026-02-09
0
Step by Step: Adaptive Gradient Descent for Training L-Lipschitz Neural Networks
By Kyle Sung, Kholood Khalil, Noah Forman · ArXiv: 2502.03792
2026-02-06
0
Rethinking Approximate Gaussian Inference in Classification
By Bálint Mucsányi, Nathaël Da Costa, Philipp Hennig · ArXiv: 2502.03366
2026-02-11
0
Data denoising with self consistency, variance maximization, and the Kantorovich dominance
By Joshua Zoen-Git Hiew, Tongseok Lim, Brendan Pass · ArXiv: 2502.02925
2026-01-31
0
Rational Gaussian wavelets and corresponding model driven neural networks
By Attila Miklós Ámon, Kristian Fenech, Péter Kovács · ArXiv: 2502.01282
2025-02-03
0
On the Graphical Rules for Recovering the Average Treatment Effect Under Selection Bias
By Yichi Zhang, Haidong Lu · ArXiv: 2502.00924
2025-12-17
0
Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
By Konstantinos Sechidis, Cong Zhang, Sophie Sun · ArXiv: 2502.00713
2026-02-05
0
CoHiRF: Hierarchical Consensus for Interpretable Clustering Beyond Scalability Limits
By Katia Meziani, Bruno Belucci, Karim Lounici · ArXiv: 2502.00380
2026-02-06
0
Conditional Feature Importance revisited: Double Robustness, Efficiency and Inference
By Angel Reyero-Lobo, Pierre Neuvial, Bertr · ArXiv: 2501.17520
2026-01-31
0
Synchronized step multilevel Markov chain Monte Carlo
By Sanjan C. Much, imath, Alex A. Gorodetsky · ArXiv: 2501.16538
2026-02-02
0
Moving toward best practice when using propensity score weighting in survey observational studies
By Yukang Zeng, Fan Li, Guangyu Tong · ArXiv: 2501.16156
2026-02-04
0
Finite mixture representations of zero-and-$N$-inflated distributions for count-compositional data
By André F. B. Menezes, Andrew C. Parnell, Keefe Murphy · ArXiv: 2501.13879
2026-03-29
0
Detecting Sparse Cointegration
By Jesus Gonzalo, Jean-Yves Pitarakis · ArXiv: 2501.13839
2026-03-04
0
Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data
By Aayush Mishra, Daniel Habermann, Marvin Schmitt · ArXiv: 2501.13483
2026-03-03
0
Design of Bayesian Clinical Trials with Clustered Data
By Luke Hagar, Shirin Golchi · ArXiv: 2501.13218
2025-11-05
0
Experimental Designs for Multi-Item Multi-Period Inventory Control
By Xinqi Chen, Xingyu Bai, Zeyu Zheng · ArXiv: 2501.11996
2026-01-31
0
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
By Lars van der Laan, Aurelien Bibaut, Nathan Kallus · ArXiv: 2501.11868
2026-03-20
0