Results 41 to 50 of about 5,783,966 (296)

RomainBey/stratified-cross-validation: pre-print code

open access: yes, 2020
This release contains the code used to run the simulations of the pre-print version of the article "stratified cross-validation for privacy-preserving federated learning"
Romain Bey
core   +1 more source

Asymptotic Optimality of Generalized CL, Cross-Validation, and Generalized Cross-Validation in Regression with Heteroskedastic Errors [PDF]

open access: yes, 1989
The problem considered here is that of using a data-driven procedure to select a good estimate from a class of linear estimates indexed by a discrete parameter.
Andrews, Donald W.K.
core   +1 more source

penalized: A MATLAB Toolbox for Fitting Generalized Linear Models with Penalties

open access: yesJournal of Statistical Software, 2016
penalized is a flexible, extensible, and efficient MATLAB toolbox for penalized maximum likelihood. penalized allows you to fit a generalized linear model (gaussian, logistic, poisson, or multinomial) using any of ten provided penalties, or none.
William McIlhagga
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin   +2 more
wiley   +1 more source

CROSS-VALIDATION ADJUSTMENT FOR MODEL SELECTION WITH CORRELATED DATA

open access: yes, 2021
In the context of general linear models, often techniques are used with an independence assumption. Unfortunately, this assumption often does not hold in real data.
Adeeb, Ebrahim
core  

Fourier Series Nonparametric Regression Modeling in the Case of Rainfall in West Java Province

open access: yesIJID (International Journal on Informatics for Development), 2022
The Fourier series is a trigonometric polynomial that has flexibility, so it adapts effectively to the local nature of the data. This Fourier series estimator is generally used when the data used is investigated for unknown patterns and there is a ...
Anatansyah Ayomi Anandari   +2 more
doaj   +1 more source

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

A comparison of the predictive powers of tenure choices between property ownership and renting

open access: yesInternational Journal of Strategic Property Management, 2019
This paper compares the predictive powers of hierarchical generalized linear modeling (HGLM), logistic regression, and discriminant analysis with regard to tenure choices between buying property and renting property by sampling the residents of the ...
Chun-Chang Lee   +2 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

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