Statistics
8901 papers in Statistics
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TITLE
DATE
VIEWS
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
Linear-cost unbiased posterior estimates for crossed effects and matrix factorization models via couplings
By Paolo Maria Ceriani, Andrea P, olfi · ArXiv: 2410.08939
2026-03-01
0
Losing dimensions: Geometric memorization in generative diffusion
By Beatrice Achilli, Enrico Ventura, Gianluigi Silvestri · ArXiv: 2410.08727
2026-03-11
0
Parametric multi-fidelity Monte Carlo estimation with applications to extremes
By Minji Kim, Brendan Brown, Vladas Pipiras · ArXiv: 2410.08523
2026-03-11
0
Quasi-average predictions and regression to the trend: an application the M6 financial forecasting competition
By Jose M. G. Vilar · ArXiv: 2410.08009
2024-10-10
0
A Generalization Bound for a Family of Implicit Networks
By Samy Wu Fung, Benjamin Berkels · ArXiv: 2410.07427
2026-02-04
0
Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression
By Weigutian Ou, Helmut Bölcskei · ArXiv: 2410.06378
2026-03-02
0
Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors
By Joseph K. Chege, Arie Yeredor, Martin Haardt · ArXiv: 2410.06329
2026-02-02
0
Convex estimation of Gaussian graphical regression models with covariates
By Ruobin Liu, Guo Yu · ArXiv: 2410.06326
2026-03-29
0
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