Results 91 to 100 of about 7,637,186 (260)

Application of generalized additive models to explore minerals in sheep milk

Journal of Dairy Science
: This study explores the complex relationships among ovine milk minerals (Ca, P, Na, K, Mg, K, Cl, respectively) and different factors employing generalized additive mixed models (GAMM). The GAMM included milk yield (MY), parity, and breed as parametric
Stefano Biffani, Michela Ablondi, Claudio Cipolat-Gotet, Andrea Summer, Elena Mariani, Johanna Ramírez-Díaz, Alessio Negro, Alessandro Lotto, Giorgia Stocco   +8 more
doaj   +1 more source

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

FEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court, Nigel Francis, Andrew Shore, Stephen Rutherford   +3 more
wiley   +1 more source

Introducing COZIGAM: An R Package for Unconstrained and Constrained Zero-Inflated Generalized Additive Model Analysis [PDF]

Zero-inflation problem is very common in ecological studies as well as other areas. Nonparametric regression with zero-inflated data may be studied via the zero-inflated generalized additive model (ZIGAM), which assumes that the zero-inflated responses ...
Kung-Sik Chan, Hai Liu
core  

Boosting Techniques for Nonlinear Time Series Models [PDF]

, 2010
Many of the popular nonlinear time series models require a priori the choice of parametric functions which are assumed to be appropriate in specific applications.
Gerhard Tutz, Nikolay Robinzonov, Torsten Hothorn, Tutz, Gerhard, Hothorn, Torsten, Robinzonov, Nikolay   +5 more
core   +1 more source

A comparative analysis of generalized additive models for obesity risk prediction

Healthcare Analytics
Obesity is a growing global health crisis, and traditional regression models often fail to capture the complex relationships between risk factors, limiting predictive accuracy and hindering effective public health interventions.
Olushina Olawale Awe, Olawale Abiodun Olaniyan, Ayorinde Emmanuel Olatunde, Ronel SewPaul, Natisha Dukhi   +4 more
doaj   +1 more source

Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape

Frontiers in Psychology, 2018
As statistical approaches are getting increasingly used in linguistics, attention must be paid to the choice of methods and algorithms used. This is especially true since they require assumptions to be satisfied to provide valid results, and because ...
Christophe Coupé
doaj   +1 more source

IGF2 knockout reduces but does not abolish osteosarcoma growth in vitro and in vivo

FEBS Open Bio, EarlyView.
To test whether endogenous IGF2 promotes osteosarcoma growth, IGF2 was knocked out in Saos2 cells via CRISPR‐Cas9. KO cells showed reduced proliferation in vitro, and knockout xenografts in mice reached only ~25% of wild‐type tumor volume. Insulin‐like growth factor 2 (IGF2) is implicated in osteosarcoma, but direct functional evidence of its role is ...
Shun Yao, Marco Archetti
wiley   +1 more source

Additive models for quantile regression: model selection and confidence bandaids [PDF]

Additive models for conditional quantile functions provide an attractive framework for nonparametric regression applications focused on features of the response beyond its central tendency.
Roger Koenker
core  

Predicting motor insurance claim incidence using generalized and tree-based models: A comparative statistical approach [PDF]

Insurance Markets and Companies
Type of the article: Research Article AbstractAccurate prediction of motor insurance claim frequency is necessary for efficient risk management, underwriting, and policy pricing.
Eslam Abdelhakim Seyam
doaj   +1 more source

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

FEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page, Rachel J. Hunt, Lauren J. Albee, Daniel Berwick, Alison Snape   +4 more
wiley   +1 more source