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9011 papers in Statistics
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TITLE
DATE
VIEWS
Note on computational complexity of the Gromov-Wasserstein distance
By Natalia Kravtsova · ArXiv: 2408.06525
2026-02-07
0
Fast convergence of a Federated Expectation-Maximization Algorithm
By Zhixu Tao, Rajita Ch, ak · ArXiv: 2408.05819
2026-03-23
0
Restricted Spatial Regression is Reasonable Statistical Practice: Clarifications, Interpretations, and New Developments
By Jonathan R. Bradley · ArXiv: 2408.05106
2026-03-22
0
Transportability of aggregate trial results to an external environment in causally interpretable meta-analysis
By Tran Trong Khoi Le, Marie-Felicia Béclin, Sivem Afach · ArXiv: 2408.04854
2026-02-17
1
Gradient-Based Approximate Bayesian Inference with Entropy-Optimized Summary Statistics for Compartmental Models
By Xiahui Li, Fergus J. Chadwick, Ben Swallow · ArXiv: 2408.03415
2026-03-17
0
Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance
By Lang Zeng, Weijing Tang, Zhao Ren · ArXiv: 2408.02839
2026-03-30
0
Expected Kullback-Leibler-based characterizations of score-driven updates
By Ramon de Punder, Timo Dimitriadis, Rutger-Jan Lange · ArXiv: 2408.02391
2026-03-03
0
Gradient flow in parameter space is equivalent to linear interpolation in output space
By Thomas Chen, Patrícia Muñoz Ewald · ArXiv: 2408.01517
2026-01-13
0
Aggregation Models with Optimal Weights for Distributed Gaussian Processes
By Haoyuan Chen, Rui Tuo · ArXiv: 2408.00955
2026-02-10
0
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack
By Kuo Gai, Sicong Wang, Shihua Zhang · ArXiv: 2408.00329
2026-03-07
0
Accelerating Large Language Model Inference with Self-Supervised Early Exits
By Florian Valade · ArXiv: 2407.21082
2026-02-12
0
High dimensional inference for extreme value indices
By Liujun Chen, Chen Zhou · ArXiv: 2407.20491
2026-02-13
0
Making Multi-Axis Gaussian Graphical Models Scalable to Millions of Cells
By Bailey Andrew, Erica L. Harris, James A. Poulter · ArXiv: 2407.19892
2026-03-17
0
Metropolis--Hastings with Scalable Subsampling
By Estevão Prado, Christopher Nemeth, Chris Sherlock · ArXiv: 2407.19602
2026-03-08
0
Approximate learning of parsimonious Bayesian context trees
By Daniyar Ghani, Nicholas A. Heard, Francesco Sanna Passino · ArXiv: 2407.19236
2024-07-27
0
Enhancing Psychometric Analysis with Interactive SIA Modules
By Patrícia Martinková, Jan Netík, Adéla Hladká · ArXiv: 2407.18943
2025-11-04
0
Robust Estimation of Polychoric Correlation
By Max Welz, Patrick Mair, Andreas Alfons · ArXiv: 2407.18835
2025-12-01
0
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
By Steven Adams, Andrea Patanè, Morteza Lahijanian · ArXiv: 2407.18707
2026-03-22
0
Evaluating Organizational Effectiveness: A New Strategy to Leverage Multisite Randomized Trials for Valid Assessment
By Guanglei Hong, Jonah Deutsch, Peter Kress · ArXiv: 2407.18360
2026-03-16
1
Generalizing the Finkelstein-Schoenfeld Test to Incorporate Multiple Alternating Thresholds
By Yunhan Mou, Tassos Kyriakides, Scott Hummel · ArXiv: 2407.18341
2025-11-12
0
Causal generalized linear models via Pearson risk invariance
By Alice Polinelli, Veronica Vinciotti, Ernst C. Wit · ArXiv: 2407.16786
2025-04-10
0
Sparse outlier-robust PCA for multi-source data
By Patricia Puchhammer, Ines Wilms, Peter Filzmoser · ArXiv: 2407.16299
2024-07-23
0
A Randomized Exchange Algorithm for Optimal Design of Multi-Response Experiments
By Pál Somogyi, Samuel Rosa, Radoslav Harman · ArXiv: 2407.16283
2025-06-02
0
Generalized dynamic functional principal component analysis
By Tzung Hsuen Khoo, Issa-Mbenard Dabo, Dharini Pathmanathan · ArXiv: 2407.16024
2026-02-23
0
Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
By José A. Carrillo, Yifan Chen, Daniel Zhengyu Huang · ArXiv: 2407.15693
2026-03-13
0
Weak-instrument-robust subvector inference in instrumental variables regression: A subvector Lagrange multiplier test and properties of subvector Anderson-Rubin confidence sets
By Malte Londschien, Peter Bühlmann · ArXiv: 2407.15256
2026-03-01
0
Minimax estimation of functionals in sparse vector model with correlated observations
By Yuhao Wang, Pengkun Yang, Alex · ArXiv: 2407.14778
2026-03-14
0
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM
By Dimitris Bertsimas, Nicholas A. G. Johnson · ArXiv: 2407.13731
2026-02-04
0