Statistics
8232 papers in Statistics
Explore Subcategories
TITLE
DATE
VIEWS
Conformal Selective Prediction with General Risk Control
By Tian Bai, Ying Jin · ArXiv: 2603.24704
2026-03-25
0
Spectral methods: crucial for machine learning, natural for quantum computers?
By Vasilis Belis, Joseph Bowles, Rishabh Gupta · ArXiv: 2603.24654
2026-03-25
0
Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch
By Fabio Ferreira, Lucca Wobbe, Arjun Krishnakumar · ArXiv: 2603.24647
2026-03-25
0
A capture-recapture hidden Markov model framework for register-based inference of population size and dynamics
By Lucy Y Brown, Eleni Matechou, Bruno Santos · ArXiv: 2603.24643
2026-03-25
0
How unconstrained machine-learning models learn physical symmetries
By Michelangelo Domina, Joseph William Abbott, Paolo Pegolo · ArXiv: 2603.24638
2026-03-25
1
A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data
By Yuichiro Iwashita, Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim · ArXiv: 2603.24626
2026-03-25
0
Polynomial Speedup in Diffusion Models with the Multilevel Euler-Maruyama Method
By Arthur Jacot · ArXiv: 2603.24594
2026-03-25
0
Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling
By Raju Chowdhury, Tanmay Sen, Prajamitra Bhuyan · ArXiv: 2603.24567
2026-03-25
0
Detection of local geometry in random graphs: information-theoretic and computational limits
By Jinho Bok, Shuangping Li, Sophie H. Yu · ArXiv: 2603.24545
2026-03-25
0
Generalized and Scalable Deep Gaussian Process Emulation
By Deyu Ming, Daniel Williamson · ArXiv: 2603.24538
2026-03-25
0
Reflected diffusion models adapt to low-dimensional data
By Asbjørn Holk, Claudia Strauch, Lukas Trottner · ArXiv: 2603.24495
2026-03-25
0
Leveraging Synthetic and Genetic Data to Improve Epidemic Forecasting
By Dave Osthus, Alex, er C. Murph · ArXiv: 2603.24474
2026-03-25
0
Distributionally balanced sampling designs via minimum tactical configurations
By Anton Grafström, Wilmer Prentius · ArXiv: 2603.24439
2026-03-25
0
Continuous-Time Learning of Probability Distributions: A Case Study in a Digital Trial of Young Children with Type 1 Diabetes
By Antonio Álvarez-López, Marcos Matabuena · ArXiv: 2603.24427
2026-03-25
0
E-values as statistical evidence: A comparison to Bayes factors, likelihoods, and p-values
By Ben Chugg, Aaditya Ramdas, Peter Grünwald · ArXiv: 2603.24421
2026-03-25
0
Neural Network Models for Contextual Regression
By Seksan Kiatsupaibul, Pakawan Chansiripas · ArXiv: 2603.24400
2026-03-25
0
Federated fairness-aware classification under differential privacy
By Gengyu Xue, Yi Yu · ArXiv: 2603.24392
2026-03-25
0
On the Use of Bagging for Local Intrinsic Dimensionality Estimation
By Kristóf Péter, Ricardo J. G. B. Campello, James Bailey · ArXiv: 2603.24384
2026-03-25
0
Notes on Forré's Notion of Conditional Independence and Causal Calculus for Continuous Variables
By Leihao Chen · ArXiv: 2603.24333
2026-03-25
0
CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization
By Bowen Lu, Liangqiang Yang, Teng Li · ArXiv: 2603.24304
2026-03-25
0
Mortality Forecasting as a Flow Field in Tucker Decomposition Space
By Samuel J. Clark · ArXiv: 2603.24299
2026-03-25
0
Rethinking Individual Risk and Aggregation in Survival Analysis: A Latent Mechanism Framework
By Xijia Liu · ArXiv: 2603.24276
2026-03-25
0
XT-REM: A Two-Component Model for Meta-Analysis of Extreme Event Proportions
By Jovana Dedeić, Jelena Ivetić, Srđan Milićević · ArXiv: 2603.24263
2026-03-25
0
Uncertainty Quantification of Spline Predictors on Compact Riemannian Manifolds
By Charlie Sire, Mike Pereira · ArXiv: 2603.24259
2026-03-25
0
Identification of NMF by choosing maximum-volume basis vectors
By Qianqian Qi, Zhongming Chen, Peter G. M. van der Heijden · ArXiv: 2603.24227
2026-03-25
0
Adapting Altman's bankruptcy prediction model to the compositional data methodology
By Fatemeh Keivani, Germà Coenders, Geòrgia Escaramís · ArXiv: 2603.24215
2026-03-25
0
A Bayesian Dynamic Latent Space Model for Weighted Networks
By Roberto Casarin, Matteo Iacopini, Antonio Peruzzi · ArXiv: 2603.24201
2026-03-25
0
Tackling the 6/49 Lottery and Debunking Common Myths with Probabilistic Methods and Combinatorial Designs
By Ralph Stömmer · ArXiv: 2603.24170
2026-03-25
0
Scoring Rules with Normalized Upper Order Statistics for Tail Inference
By Martin Bladt, Christoffer Øhlenschlæger · ArXiv: 2603.24122
2026-03-25
0