Results 211 to 220 of about 4,616 (278)

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

Stochastic activity in low-rank recurrent neural networks. [PDF]

PLoS Comput Biol
Mastrogiuseppe F, Carmona J, Machens CK.
europepmc   +1 more source

A General Framework for Designing and Evaluating Active‐Controlled Trials with Non‐Inferiority Objectives

Statistics in Medicine, Volume 45, Issue 13-14, June 2026.
ABSTRACT Active‐controlled trials with non‐inferiority objectives are often used when effective interventions are available, but new options may offer advantages or meet public health needs. In these trials, participants are randomized to an experimental intervention or an active control.
Antonio Olivas‐Martinez, Fei Gao, Holly Janes   +2 more
wiley   +1 more source

Stochastic reservoir computers. [PDF]

Nat Commun
Ehlers PJ, Nurdin HI, Soh D.
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

Thermodynamic computing system for AI applications. [PDF]

Nat Commun
Melanson D, Abu Khater M, Aifer M, Donatella K, Hunter Gordon M, Ahle T, Crooks G, Martinez AJ, Sbahi F, Coles PJ.   +9 more
europepmc   +1 more source

On the Foundational Arguments of Sufficient Dimension Reduction

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
wiley   +1 more source

Stochastic Reaction Networks Within Interacting Compartments with Content-Dependent Fragmentation. [PDF]

Bull Math Biol
Anderson DF, Howells AS, La Luz DR.
europepmc   +1 more source

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source