Results 151 to 160 of about 9,227 (217)

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. [PDF]

Health Data Sci
Sun C, Song M, Cai D, Zhang B, Li H, Hong S.   +5 more
europepmc   +1 more source

Statistical Detection of Adversarial Compliance With Benford's Law

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.
ABSTRACT We address the task of identifying anomalous observations by analyzing digits under the lens of Benford's law. Motivated by the crucial objective of providing reliable statistical analysis of customs declarations, we answer one major and still open question: How can we detect the behavior of operators who are aware of the prevalence of the ...
Lucio Barabesi, Andrea Cerioli, Andrea Cerasa, Domenico Perrotta   +3 more
wiley   +1 more source

Advancing eye movement analysis through compositional modeling: A new perspective on Yarbus' classic study. [PDF]

Behav Res Methods
Fačevicová K, Vymazal J, Popelka S.
europepmc   +1 more source

Wasserstein Regression, Forecasting, and Change‐Point Detection for Daily Traffic Flow Distributions

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.
ABSTRACT We develop a distribution‐valued framework for modeling, forecasting, and monitoring traffic flow counts by treating each day as a probability distribution summarized by jittered empirical quantile signatures. Inference is conducted under the 2‐Wasserstein geometry, which in one dimension is isometric to the L2(0,1)$$ {L}^2\left(0,1\right ...
Abdolnasser Sadeghkhani
wiley   +1 more source

Bayesian Frameworks for Explicit Biological Age Estimation

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.
ABSTRACT Biological age (BA) is a quantity of interest in insurance, and this paper explores the statistical foundations for estimating an individual's BA, proposing a semi‐parametric Bayesian model for its estimation using multiple quantitative and qualitative phenotypes. BA is modeled explicitly as a latent biological state that influences observable
Stefano Cabras
wiley   +1 more source

Pre-trained multi-scale RWKV-GCN for multivariate time series forecasting. [PDF]

Sci Rep
Hao J, Liu F, Zhang W.
europepmc   +1 more source

Variance‐Guided Regression for Heteroscedastic Data With a Grouping‐Based Extension for Nonlinear Prediction

Statistics in Medicine, Volume 45, Issue 13-14, June 2026.
ABSTRACT Although homoscedasticity is often assumed in linear regression, real data may show variance patterns or residual structures that violate this assumption. We propose VarGuid, a variance‐guided framework for two related settings: Covariate‐dependent conditional variance under a global linear mean model, and residual nonlinear mean structure ...
Sibei Liu, Min Lu
wiley   +1 more source

SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data. [PDF]

Biol Methods Protoc
She J, Alterovitz G.
europepmc   +1 more source

Fast Estimation and Valid Statistical Inference for Mixed‐Effect Location‐Scale Models Using Variational Inference

Statistics in Medicine, Volume 45, Issue 13-14, June 2026.
ABSTRACT With the development of modern technology, richer and more intensive longitudinal data are available for researchers to study more complex model structures. The Mixed‐Effect Location‐Scale Model (MELS) is useful for modeling the variance components in such data.
Brian Ping‐Huan Wu, Donald Hedeker
wiley   +1 more source