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9761 papers in Statistics
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TITLE
DATE
VIEWS
The Theory and Practice of MAP Inference over Non-Convex Constraints
By Le, er Kurscheidt, Gabriele Masina · ArXiv: 2602.08681
2026-02-10
0
Two-Stage Data Synthesization: A Statistics-Driven Restricted Trade-off between Privacy and Prediction
By Xiaotong Liu, Shao-Bo Lin, Jun Fan · ArXiv: 2602.08657
2026-02-09
0
Measures for Assessing Causal Effect Heterogeneity Unexplained by Covariates
By Yuta Kawakami, Jin Tian · ArXiv: 2602.08647
2026-02-09
0
State policy heterogeneity analyses: considerations and proposals
By Max Rubinstein, Megan S. Schuler, Elizabeth A. Stuart · ArXiv: 2602.08643
2026-02-09
0
CauScale: Neural Causal Discovery at Scale
By Bo Peng, Sirui Chen, Jiaguo Tian · ArXiv: 2602.08629
2026-02-09
0
An arithmetic method algorithm optimizing k-nearest neighbors compared to regression algorithms and evaluated on real world data sources
By Theodoros Anagnostopoulos, Evanthia Zervoudi, Christos Anagnostopoulos · ArXiv: 2602.08577
2026-02-09
0
Rho-Perfect: Correlation Ceiling For Subjective Evaluation Datasets
By Fredrik Cumlin · ArXiv: 2602.08552
2026-02-09
0
Adaptive Markovian Spatiotemporal Transfer Learning in Multivariate Bayesian Modeling
By Luca Presicce, Sudipto Banerjee · ArXiv: 2602.08544
2026-02-09
0
Empirical Bayes Variable Selection with Lasso Statistics in the AMP Framework
By Lina Hidmi, Asaf Weinstein · ArXiv: 2602.08486
2026-02-09
0
Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization
By Charalampos Shimillas, Kleanthis Malialis, Konstantinos Fokianos · ArXiv: 2602.08467
2026-02-09
0
The Connection between Kriging and Large Neural Networks
By Marius Marinescu · ArXiv: 2602.08427
2026-02-09
0
Temporal Trends in Incidence of Dementia in a Birth Cohorts Analysis of the Framingham Heart Study
By Paula Staudt, Anika Schlosser, Annika Möhl · ArXiv: 2602.08414
2026-02-09
0
A Bayesian regression framework for circular models with INLA
By Xiang Ye, Janet Van Niekerk, Haavard Rue · ArXiv: 2602.08413
2026-02-09
0
Schrödinger bridge problem via empirical risk minimization
By Denis Belomestny, Alexey Naumov, Nikita Puchkin · ArXiv: 2602.08374
2026-02-09
1
All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear Dimension
By Tal Burla, Roi Livni · ArXiv: 2602.08350
2026-02-09
0
Estimating the Shannon Entropy Using the Pitman--Yor Process
By Takato Hashino, Koji Tsukuda · ArXiv: 2602.08347
2026-02-20
0
Is Flow Matching Just Trajectory Replay for Sequential Data?
By Soon Hoe Lim, Shizheng Lin, Michael W. Mahoney · ArXiv: 2602.08318
2026-02-09
0
Fast Flow Matching based Conditional Independence Tests for Causal Discovery
By Shunyu Zhao, Yanfeng Yang, Shuai Li · ArXiv: 2602.08315
2026-02-09
0
Interaction-Grounded Learning for Contextual Markov Decision Processes with Personalized Feedback
By Mengxiao Zhang, Yuheng Zhang, Haipeng Luo · ArXiv: 2602.08307
2026-02-09
0
Noise Stability of Transformer Models
By Themistoklis Haris, Zihan Zhang, Yuichi Yoshida · ArXiv: 2602.08287
2026-02-09
1
A Statistical Framework for Alignment with Biased AI Feedback
By Xintao Xia, Zhiqiu Xia, Linjun Zhang · ArXiv: 2602.08259
2026-02-09
0
Discrete Adjoint Schrödinger Bridge Sampler
By Wei Guo, Yuchen Zhu, Xiaochen Du · ArXiv: 2602.08243
2026-02-09
0
Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization
By Ruichen Jiang, Zakaria Mhammedi, Mehryar Mohri · ArXiv: 2602.08232
2026-02-09
0
Distribution-Free Robust Predict-Then-Optimize in Function Spaces
By Yash Patel, Ambuj Tewari · ArXiv: 2602.08215
2026-02-11
0
CADO: From Imitation to Cost Minimization for Heatmap-based Solvers in Combinatorial Optimization
By Hyungseok Song, Deunsol Yoon, Kanghoon Lee · ArXiv: 2602.08210
2026-02-09
0
Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso
By Shingo Higashiguchi, Koki Kawabata, Yasuko Matsubara · ArXiv: 2602.08197
2026-02-09
0
Information Geometry of Absorbing Markov-Chain and Discriminative Random Walks
By Masanari Kimura · ArXiv: 2602.08185
2026-02-09
0
Fundamental Limits of Community Detection in Contextual Multi-Layer Stochastic Block Models
By Shuyang Gong, Dong Huang, Zhangsong Li · ArXiv: 2602.08173
2026-02-09
0
Learning from Literature: Integrating LLMs and Bayesian Hierarchical Modeling for Oncology Trial Design
By Guannan Gong, Satrajit Roychoudhury, Allison Meisner · ArXiv: 2602.08172
2026-02-09
0