Statistics
8611 papers in Statistics
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TITLE
DATE
VIEWS
Kelly Betting as Bayesian Model Evaluation: A Framework for Time-Updating Probabilistic Forecasts
By Michael Beuoy · ArXiv: 2602.09982
2026-02-10
0
Causal Identification in Multi-Task Demand Learning with Confounding
By Varun Gupta, Vijay Kamble · ArXiv: 2602.09969
2026-02-10
0
Statistical-Computational Trade-offs in Learning Multi-Index Models via Harmonic Analysis
By Hugo Latourelle-Vigeant, Theodor Misiakiewicz · ArXiv: 2602.09959
2026-02-10
0
The Catastrophic Failure of The k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It
By Roy R. Lederman, David Silva-Sánchez, Ziling Chen · ArXiv: 2602.09936
2026-02-10
0
Doubly Robust Machine Learning for Population Size Estimation with Missing Covariates: Application to Gaza Conflict Mortality
By Mateo Dulce Rubio, Edward H. Kennedy, Nicholas P. Jewell · ArXiv: 2602.09911
2026-02-10
0
Stabilized Maximum-Likelihood Iterative Quantum Amplitude Estimation for Structural CVaR under Correlated Random Fields
By Alireza Tabarraei · ArXiv: 2602.09847
2026-02-10
0
Estimating Individual Customer Lifetime Values with R: The CLVTools Package
By Markus Meierer, Patrick Bachmann, Jeffrey Näf · ArXiv: 2602.09845
2026-02-10
0
Density estimation from batched broken random samples
By Hancheng Bi, Bernhard Schmitzer, Thilo D. Stier · ArXiv: 2602.09833
2026-02-10
0
Asymptotic analysis of the Gaussian kernel matrix for partially noisy data in high dimensions
By Kensuke Aishima · ArXiv: 2602.09762
2026-02-10
1
Bayesian identification of early warning signals for long-range dependent climatic time series
By Sigrunn H. Sørbye, Eirik Myrvoll-Nilsen, Håvard Rue · ArXiv: 2602.09731
2026-02-10
1
Continual Learning for non-stationary regression via Memory-Efficient Replay
By Pablo García-Santaclara, Bruno Fernández-Castro, RebecaP. Díaz-Redondo · ArXiv: 2602.09720
2026-02-10
0
Extended Isolation Forest with feature sensitivities
By Illia Donhauzer · ArXiv: 2602.09704
2026-02-10
1
The Entropic Signature of Class Speciation in Diffusion Models
By Florian H, ke, Dejan Stančević · ArXiv: 2602.09651
2026-02-10
1
A simple proof of the discreteness of Dirichlet processes
By Nils Lid Hjort · ArXiv: 2602.09643
2026-02-10
1
Blind denoising diffusion models and the blessings of dimensionality
By Zahra Kadkhodaie, Aram-Alex, re Pooladian · ArXiv: 2602.09639
2026-02-10
0
Bayesian network approach to building an affective module for a driver behavioural model
By Dorota Młynarczyk, Gabriel Calvo, Francisco Palmi-Perales · ArXiv: 2602.09632
2026-02-10
0
Discrete-time, discrete-state multistate Markov models from the perspective of algebraic statistics
By Dario Gasbarra, Kaie Kubjas, Sangita Kulathinal · ArXiv: 2602.09619
2026-02-10
1
Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift
By Amir Asiaee, Samhita Pal, Cole Beck · ArXiv: 2602.09595
2026-02-10
1
ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
By Vajira Thambawita, Jonas L. Isaksen, Jørgen K. Kanters · ArXiv: 2602.09566
2026-02-10
0
High Dimensional Mean Test for Shrinking Random Variables with Applications to Backtesting
By Liujun Chen, Chen Zhou · ArXiv: 2602.09542
2026-02-10
1
A joint QoL-Survival framework with debiased estimation under truncation by death
By Torben Martinussen, Klaus K. Holst, Christian Bressen Pipper · ArXiv: 2602.09537
2026-02-10
0
Continuous mixtures of Gaussian processes as models for spatial extremes
By Lorenzo Dell'Oro, Carlo Gaetan, Thomas Opitz · ArXiv: 2602.09512
2026-02-10
0
From Average Sensitivity to Small-Loss Regret Bounds under Random-Order Model
By Shinsaku Sakaue, Yuichi Yoshida · ArXiv: 2602.09457
2026-02-10
0
Taming the Monster Every Context: Complexity Measure and Unified Framework for Offline-Oracle Efficient Contextual Bandits
By Hao Qin, Chicheng Zhang · ArXiv: 2602.09456
2026-02-10
0
Is Memorization Helpful or Harmful? Prior Information Sets the Threshold
By Chen Cheng, Rina Foygel Barber · ArXiv: 2602.09405
2026-02-10
1
Regularized geometric quantiles and universal linear distribution functionals
By Dimitri Konen, Gilles Stupfler · ArXiv: 2602.09356
2026-02-10
1
Supervised Learning of Functional Outcomes with Predictors at Different Scales: A Functional Gaussian Process Approach
By R. Jacob Andros, Rajarshi Guhaniyogi, Devin Francom · ArXiv: 2602.09351
2026-02-10
1
SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints
By Ya-Chi Chu, Alkiviades Boukas, Madeleine Udell · ArXiv: 2602.09317
2026-02-10
1
Clarifying Shampoo: Adapting Spectral Descent to Stochasticity and the Parameter Trajectory
By Runa Eschenhagen, Anna Cai, Tsung-Hsien Lee · ArXiv: 2602.09314
2026-02-10
1
Stochastic EM Estimation and Inference for Zero-Inflated Beta-Binomial Mixed Models for Longitudinal Count Data
By John Barrera, Ana Arribas-Gil, Dae-Jin Lee · ArXiv: 2602.09279
2026-02-09
1