Statistics
8872 papers in Statistics
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TITLE
DATE
VIEWS
Approximate Bayesian Computation with Statistical Distances for Model Selection
By Clara Grazian · ArXiv: 2410.21603
2026-02-28
0
Adaptive Transfer Clustering: A Unified Framework
By Yuqi Gu, Zhongyuan Lyu, Kaizheng Wang · ArXiv: 2410.21263
2026-03-08
1
Swiss-system chess tournaments and unfairness
By László Csató, Alex Krumer · ArXiv: 2410.19333
2026-02-26
1
High-dimensional Statistical Inference and Variable Selection Using Sufficient Dimension Association
By Shangyuan Ye, Shauna Rakshe, Ye Liang · ArXiv: 2410.19031
2025-09-17
0
On the Mean-Field limit of diffusive games through the master equation: $L^{\infty}$ estimates and extreme value behavior
By Erhan Bayraktar, Nikolaos Kolliopoulos · ArXiv: 2410.18869
2026-02-04
0
Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints
By Udvas Das, Debabrota Basu · ArXiv: 2410.18844
2026-02-04
0
Denoising diffusion probabilistic models are optimally adaptive to unknown low dimensionality
By Zhihan Huang, Yuting Wei, Yuxin Chen · ArXiv: 2410.18784
2026-02-15
0
Rethinking Attention: Polynomial Alternatives to Softmax in Transformers
By Hemanth Saratch, ran, Jianqiao Zheng · ArXiv: 2410.18613
2026-03-13
1
Asymptotics for parametric martingale posteriors
By Edwin Fong, Andrew Yiu · ArXiv: 2410.17692
2024-10-23
0
Mesoscale two-sample testing for networks
By Peter W. MacDonald, Elizaveta Levina, Ji Zhu · ArXiv: 2410.17046
2026-03-13
1
Causal Data Fusion for Panel Data without a Pre-Intervention Period
By Zou Yang, Seung Hee Lee, Julia R. Köhler · ArXiv: 2410.16391
2026-02-06
0
Statistical Inference for Temporal Difference Learning with Linear Function Approximation
By Weichen Wu, Gen Li, Yuting Wei · ArXiv: 2410.16106
2026-02-24
0
Are Bayesian networks typically faithful?
By Philip Boeken, Patrick Forré, Joris M. Mooij · ArXiv: 2410.16004
2026-03-11
1
Adversarial Estimation of Assortment Probabilities under Independence Structure
By Alex, re Belloni, Yan Chen · ArXiv: 2410.15166
2026-03-20
0
Predictive variational inference: Learn the predictively optimal posterior distribution
By Jinlin Lai, Antonio Linero, Yuling Yao · ArXiv: 2410.14843
2026-03-30
0
Inferring the dynamics of quasi-reaction systems via nonlinear local mean-field approximations
By Matteo Framba, Veronica Vinciotti, Ernst C. Wit · ArXiv: 2410.13744
2024-10-17
0
Spatial Proportional Hazards Model with Differential Regularization
By Lorenzo Tedesco, Francesco Finazzi · ArXiv: 2410.13420
2026-02-15
0
Online conformal inference for multi-step time series forecasting
By Xiaoqian Wang, Rob J Hyndman · ArXiv: 2410.13115
2026-02-02
0
Adaptive and Stratified Subsampling for High-Dimensional Robust Estimation
By Prateek Mittal, Joohi Chauhan · ArXiv: 2410.12367
2026-03-10
0
Stein's method for marginals on large graphical models
By Tiangang Cui, Shuigen Liu, Xin T. Tong · ArXiv: 2410.11771
2026-01-30
0
Impact of existence and nonexistence of pivot on the coverage of empirical best linear prediction intervals for small areas
By Yuting Chen, Masayo Y. Hirose, Partha Lahiri · ArXiv: 2410.11238
2026-03-10
0
Discovering the critical number of respondents to validate an item in a questionnaire: The Binomial Cut-level Content Validity proposal
By Helder Gomes Costa, Eduardo Shimoda, José Fabiano da Serra Costa · ArXiv: 2410.11151
2024-10-15
0
Vecchia Gaussian Processes: on probabilistic and statistical properties
By Botond Szabo, Yichen Zhu · ArXiv: 2410.10649
2026-03-11
0
Bayesian nonparametric modeling of heterogeneous populations of networks
By Francesco Barile, Simón Lunagómez, Bernardo Nipoti · ArXiv: 2410.10354
2026-03-06
0
Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching
By Dongxie Wen, Hanyan Yin, Xiao Zhang · ArXiv: 2410.10258
2026-02-27
0
Convergence rates for estimating multivariate scale mixtures of uniform densities
By Arlene K. H. Kim, Gil Kur, Adityan · ArXiv: 2410.10251
2026-02-22
0
Kinetic interacting particle system: parameter estimation from complete and partial discrete observations
By Chiara Amorino, Vytautė Pilipauskaitė · ArXiv: 2410.10226
2026-03-30
0
Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach
By Luca Presicce, Sudipto Banerjee · ArXiv: 2410.09504
2026-01-30
1
Variance reduction combining pre-experiment and in-experiment data
By Zhexiao Lin, Pablo Crespo · ArXiv: 2410.09027
2026-03-21
0
The MAPS Algorithm: Fast model-agnostic and distribution-free prediction intervals for supervised learning
By Daniel Salnikov, Dan Leonte, Kevin Michalewicz · ArXiv: 2410.08958
2026-02-20
0