Results 91 to 100 of about 70,549 (302)

Generalized Additive Models [PDF]

, 2021
How do we model data that is non-linear? In linear regression, we assume that the underlying relationship between our response variable and our explanatory variables is linear.
Lowe, Jaylin
core  

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Spatial modeling of HIV prevalence in Malawi using generalized additive models

Frontiers in Epidemiology
IntroductionMalawi has made substantial progress in HIV prevention and treatment, yet HIV prevalence remains unevenly distributed across the country. Sub-national estimates are needed to guide targeted interventions.MethodsWe analyzed individual-level ...
Zacharie Tsala Dimbuene, Crispin Mabika Mabika, Blandine Bawawana Bavwidinsi, Emmanuel Juakaly Wayisovia, Emmanuel Juakaly Wayisovia, Emmanuel Juakaly Wayisovia, Hugues Sampasa-Kanyinga   +6 more
doaj   +1 more source

Oracally Efficient Two-Step Estimation of Generalized Additive Model [PDF]

Generalized additive models (GAM) are multivariate nonparametric regressions for non-Gaussian responses including binary and count data. We propose a spline-backfitted kernel (SBK) estimator for the component functions.
Wolfgang Karl Härdle, Rong Liu, Lijian Yang   +2 more
core  

Structured additive regression for multicategorical space-time data: A mixed model approach [PDF]

, 2004
In many practical situations, simple regression models suffer from the fact that the dependence of responses on covariates can not be sufficiently described by a purely parametric predictor.
Kneib, Thomas, Fahrmeir, Ludwig
core   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Curved Text Line Rectification via Bresenham’s Algorithm and Generalized Additive Models

Signals
This paper presents a methodology for rectifying curved text lines, a crucial process in optical character recognition (OCR) and computer vision. Utilizing generalized additive models (GAMs), the proposed method accurately estimates text curvature and ...
Thomas Stogiannopoulos, Ilias Theodorakopoulos   +1 more
doaj   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source

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

Generalized Additive Modelling of Mixed Distribution Markov Models with Application to Melbourne's Rainfall. [PDF]

We consider modelling time series using a generalized additive model with first- order Markov structure and mixed transition density having a discrete component at zero and a continuous component with positive sample space.
Hyndman, R.J., Grunwald, G.K.
core