Statistics

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61 Papers
TITLE
DATE
VIEWS
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
Enhanced inference for distributions and quantiles of individual treatment effects in various experiments
By Zhe Chen, Xinran Li · ArXiv: 2407.13261
2026-03-28
0
Multigrid Monte Carlo Revisited: Theory and Bayesian Inference
By Yoshihito Kazashi, Eike H. Müller, Robert Scheichl · ArXiv: 2407.12149
2026-02-11
0
Factorial Difference-in-Differences
By Yiqing Xu, Anqi Zhao, Peng Ding · ArXiv: 2407.11937
2026-02-03
0
Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy
By Mohammad Zhalechian, Soroush Saghafian, Omar Robles · ArXiv: 2407.11823
2026-01-29
0
ERM-Lasso classification algorithm for Multivariate Hawkes Processes paths
By Charlotte Dion-Blanc, Christophe Denis, Laure Sansonnet · ArXiv: 2407.11455
2024-07-16
0
GenTwoArmsTrialSize: An R Statistical Software Package to estimate Generalized Two Arms Randomized Clinical Trial Sample Size
By Mohsen Soltanifar, Chel Hee Lee, Amin Shirazi · ArXiv: 2407.11342
2024-07-16
0
Proper losses regret at least 1/2-order
By Han Bao, Asuka Takatsu · ArXiv: 2407.10417
2026-03-03
0
Have ASkotch: A Neat Solution for Large-scale Kernel Ridge Regression
By Pratik Rathore, Zachary Frangella, Jiaming Yang · ArXiv: 2407.10070
2026-01-27
0
A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- part 1: binary outcomes
By Richard D Riley, Gary S Collins, Rebecca Whittle · ArXiv: 2407.09293
2025-01-24
0
Estimating Methane Emissions from the Upstream Oil and Gas Industry Using a Multi-Stage Framework
By Augustine Wigle, Audrey Beliveau · ArXiv: 2407.08827
2024-07-11
0
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
By Peter Mostowsky, Vincent Dutordoir, Isk · ArXiv: 2407.08086
2026-03-02
0
Granulometric Smoothing on Manifolds
By Diego Bolón, Rosa M. Crujeiras, Alberto Rodríguez-Casal · ArXiv: 2407.07559
2026-02-11
0
Who Goes Next? Optimizing the Allocation of Adherence-Improving Interventions
By Daniel Otero-Leon, Mariel Lavieri, Brian Denton · ArXiv: 2407.06898
2024-07-09
0
Logit unfolding choice models for binary data
By Rayleigh Lei, Abel Rodriguez · ArXiv: 2407.06395
2024-10-11
0
Functional Principal Component Analysis for Sparse Censored Data
By Caitrin Murphy, Eric Laber, Rhonda Merwin · ArXiv: 2407.05543
2026-03-22
0
Einstein from Noise: Statistical Analysis
By Amnon Balanov, Wasim Huleihel, Tamir Bendory · ArXiv: 2407.05277
2026-03-10
0
Distributional stability of sparse inverse covariance matrix estimators
By Renjie Chen, Huifu Xu, Henryk Zähle · ArXiv: 2407.05110
2026-03-09
0
Investigating symptom duration using current status data: a case study of post-acute COVID-19 syndrome
By Charles J. Wolock, Susan Jacob, Julia C. Bennett · ArXiv: 2407.04214
2026-01-28
0
Predictive Coding Networks and Inference Learning: Tutorial and Survey
By Björn van Zwol, Ro Jefferson, Egon L. van den Broek · ArXiv: 2407.04117
2026-03-06
0
A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
By Efthymios Costa, Ioanna Papatsouma, Angelos Markos · ArXiv: 2407.03389
2026-01-29
0
Conformal Prediction for Causal Effects of Continuous Treatments
By Maresa Schröder, Dennis Frauen, Jonas Schweisthal · ArXiv: 2407.03094
2026-02-03
0
A simple algorithm for output range analysis for deep neural networks
By Helder Rojas, Nilton Rojas, Espinoza J. B. · ArXiv: 2407.02700
2026-01-27
0
Quantum Curriculum Learning
By Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima · ArXiv: 2407.02419
2025-07-13
0
Regularized estimation of Monge-Kantorovich quantiles for spherical data
By Bernard Bercu, Jérémie Bigot, Gauthier Thurin · ArXiv: 2407.02085
2026-02-05
0
Absolute abstraction: a renormalisation group approach
By Carlo Orientale Caputo, Elias Seiffert, Enrico Frausin · ArXiv: 2407.01656
2026-03-03
0
A Parametric Contextual Online Learning Theory of Brokerage
By François Bachoc, Tommaso Cesari, Roberto Colomboni · ArXiv: 2407.01566
2026-02-19
0
Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation
By Hao Wang, Zhichao Chen, Zhaoran Liu · ArXiv: 2407.01111
2026-03-25
0
Clusterpath Gaussian Graphical Modeling
By D. J. W. Touw, A. Alfons, P. J. F. Groenen · ArXiv: 2407.00644
2026-03-24
0
On the Computational Efficiency of Bayesian Additive Regression Trees: An Asymptotic Analysis
By Yan Shuo Tan, Omer Ronen, Theo Saarinen · ArXiv: 2406.19958
2026-02-07
0
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