Statistics
8945 papers in Statistics
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TITLE
DATE
VIEWS
Persistence-Robust Break Detection in Predictive CoVaR Regressions
By Yannick Hoga · ArXiv: 2410.05861
2026-03-10
0
Joint Distribution-Informed Shapley Values for Sparse Counterfactual Explanations
By Lei You, Yijun Bian, Lele Cao · ArXiv: 2410.05419
2026-02-27
0
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control
By Ehsan Futuhi, Shayan Karimi, Chao Gao · ArXiv: 2410.05225
2026-02-17
0
GAMformer: Bridging Tabular Foundation Models and Interpretable Machine Learning
By Andreas Mueller, Julien Siems, Harsha Nori · ArXiv: 2410.04560
2026-02-05
0
Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement
By Yoonsoo Nam, Nayara Fonseca, Seok Hyeong Lee · ArXiv: 2410.04264
2026-03-02
0
Online Posterior Sampling with a Diffusion Prior
By Branislav Kveton, Boris Oreshkin, Youngsuk Park · ArXiv: 2410.03919
2026-02-16
0
Functional-SVD for Heterogeneous Trajectories: Case Studies in Health
By Jianbin Tan, Pixu Shi, Anru R. Zhang · ArXiv: 2410.03619
2026-02-03
0
Nested Deep Learning Model Towards A Foundation Model for Brain Signal Data
By Fangyi Wei, Jiajie Mo, Kai Zhang · ArXiv: 2410.03191
2026-03-13
0
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
By Jiecheng Lu, Xu Han, Yan Sun · ArXiv: 2410.03159
2026-02-05
0
Minmax Trend Filtering: Generalizations of Total Variation Denoising via a Local Minmax/Maxmin Formula
By Sabyasachi Chatterjee · ArXiv: 2410.03041
2026-02-12
0
Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport
By Abigail Langbridge, Anthony Quinn, Robert Shorten · ArXiv: 2410.02840
2024-10-03
0
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
By Shivam Kumar, Yun Yang, Lizhen Lin · ArXiv: 2410.02025
2025-10-01
0
Input-Label Correlation Governs a Linear-to-Nonlinear Transition in Random Features under Spiked Covariance
By Samet Demir, Zafer Dogan · ArXiv: 2409.20250
2026-02-18
0
Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows
By Francesca R. Crucinio, Adam M. Johansen · ArXiv: 2409.19642
2026-02-17
0
Simulation-based Inference with the Python Package sbijax
By Simon Dirmeier, Antonietta Mira, Carlo Albert · ArXiv: 2409.19435
2026-03-20
0
The co-varying ties between networks and item responses via latent variables
By Selena Wang, Plamena Powla, Tracy Sweet · ArXiv: 2409.19400
2024-09-28
0
Consistency of Variational Inference for Nonlinear Inverse Problems of Partial Differential Equations
By Shaokang Zu, Junxiong Jia, Deyu Meng · ArXiv: 2409.18415
2026-02-07
0
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data
By Nicolas Chatzikiriakos, Robin Strässer, Frank Allgöwer · ArXiv: 2409.18010
2026-03-20
0
On the tails of log-concave density estimators
By Didier B. Ryter, Lutz Duembgen · ArXiv: 2409.17910
2026-01-30
0
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
By Oscar Clivio, Avi Feller, Chris Holmes · ArXiv: 2409.16407
2026-02-13
0
Axiomatic characterisation of generalized $ψ$-estimators
By Matyas Barczy, Zsolt Páles · ArXiv: 2409.16240
2026-03-06
0
Stable Survival Extrapolation via Transfer Learning
By Anastasios Apsemidis, Nikolaos Demiris · ArXiv: 2409.16044
2024-11-22
0
Easy Conditioning far beyond Gaussian
By Antoine Faul, David Ginsbourger, Ben Spycher · ArXiv: 2409.16003
2026-03-24
0
An ILUES-based adaptive Gaussian process method for multimodal Bayesian inverse problems
By Zhihang Xu, Xiaoyu Zhu, Daoji Li · ArXiv: 2409.15307
2026-02-14
0
Adaptive weight selection for time-to-event data under non-proportional hazards
By Moritz Fabian Danzer, Ina Dormuth · ArXiv: 2409.15145
2024-09-23
0
Explainable AI needs formalization
By Stefan Haufe, Rick Wilming, Benedict Clark · ArXiv: 2409.14590
2026-03-30
0
Forecasting Causal Effects of Future Interventions: Confounding and Transportability Issues
By Laura Forastiere, Fan Li, Michela Baccini · ArXiv: 2409.13060
2026-03-09
0
CLE-SH: Comprehensive Literal Explanation package for SHapley values by statistical validity
By Kyungjin Kim, Youngro Lee, Jongmo Seo · ArXiv: 2409.12578
2026-01-30
0