Results 91 to 100 of about 5,885 (195)
Robust CDF‐Filtering of a Location Parameter
Journal of Time Series Analysis, Volume 47, Issue 6, Page 1113-1123, November 2026.ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source
Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation. [PDF]
Lifetime Data Anal, 2023 Wong KY, Zhou Q, Hu T.
europepmc +1 more source
Biometrical Journal, Volume 68, Issue 5, October 2026.ABSTRACT In survival data analysis, the stratified Cox model becomes a popular option when the proportional hazards assumption of the conventional Cox model does not hold for certain covariates. For a stratified Cox model, when the observed survival times contain only right censoring, the method of maximum partial likelihood can still be implemented ...
Jun Ma +3 more
wiley +1 more source
Semiparametric regression on cumulative incidence function with interval-censored competing risks data and missing event types. [PDF]
Biostatistics, 2022 Park J +3 more
europepmc +1 more source
Mixtures of Neural Network Experts With Application to Phytoplankton Flow Cytometry Data
Environmetrics, Volume 37, Issue 7, October 2026.ABSTRACT Flow cytometry is a valuable technique that measures the optical properties of particles at a single‐cell resolution. When deployed in the ocean, flow cytometry allows oceanographers to study different types of photosynthetic microbes called phytoplankton.
Ethan Pawl +3 more
wiley +1 more source
Estimating equivalence scales and non-food needs in Egypt: Parametric and semiparametric regression modeling. [PDF]
PLoS One, 2021 Awwad FA, Abdel-Rahman S, Abonazel MR.
europepmc +1 more source
Incremental Propensity Score Interventions: A Primer for Pharmacoepidemiologists
Pharmacoepidemiology and Drug Safety, Volume 35, Issue 10, October 2026.ABSTRACT Background In observational pharmacoepidemiology, estimating average treatment effects (ATEs) is often challenging due to a lack of practical positivity. In highly selective clinical settings, certain patients almost always or never receive treatment, causing ATE estimators to rely on unstable extrapolation.
Byeong Yeob Choi
wiley +1 more source
Longitudinal Data Regression Analysis Using Semiparametric Modelling
Revstat Statistical JournalZhang, Leng and Tang (2015) propose joint parametric modelling of the means, variances, and the correlations by decomposing the correlation matrix via hyperspherical co-ordinates and show that this results unconstrained parameterization, fast ...
Abdulla Mamun, Sudhir Paul
doaj
VarReg: An R package for semi-parametric variance regression
SoftwareXVariance regression is used to model heteroscedasticity in terms of covariates. Algorithms already exist but they may face computational instability due to the required parameter constraints.
Kristy P Robledo, Ian C Marschner
doaj +1 more source
Statistics in Medicine, Volume 45, Issue 23-24, October 2026.ABSTRACT Randomized controlled trials often enroll participants whose characteristics differ from those of a target population. When the distribution of effect modifiers differs between trial participants and the target population, treatment effects estimated within the trial may not be directly applicable to all trial‐eligible individuals.
Lan Wen, Issa J. Dahabreh, Yu‐Han Chiu
wiley +1 more source