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A Generalized Linear Model of a Navigation Network [PDF]
Frontiers in Neural Circuits, 2020 Navigation by mammals is believed to rely on a network of neurons in the hippocampal formation, which includes the hippocampus, the medial entorhinal cortex (MEC), and additional nearby regions.
Ehud Vinepinsky +6 more
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Model Selection in Generalized Linear Models
Symmetry, 2023 The problem of model selection in regression analysis through the use of forward selection, backward elimination, and stepwise selection has been well explored in the literature. The main assumption in this, of course, is that the data are normally distributed and the main tool used here is either a t test or an F test. However, the properties of these
Abdulla Mamun, Sudhir Paul
exaly +3 more sources
Generalized partially functional linear model
Scientific Reports, 2021 In this paper, a generalized partially functional linear regression model is proposed and the asymptotic property of the proposed estimated coefficients in the model is established.
Weiwei Xiao, Yixuan Wang, Haiyan Liu
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A Federated Generalized Linear Model for Privacy-Preserving Analysis
Algorithms, 2022 In the last few years, federated learning (FL) has emerged as a novel alternative for analyzing data spread across different parties without needing to centralize them.
Matteo Cellamare +4 more
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Cross-Validation Model Averaging for Generalized Functional Linear Model
Econometrics, 2020 Functional data is a common and important type in econometrics and has been easier and easier to collect in the big data era. To improve estimation accuracy and reduce forecast risks with functional data, in this paper, we propose a novel cross ...
Haili Zhang, Guohua Zou
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Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation [PDF]
, 2011 Generalized linear mixed models are a widely used tool for modeling longitudinal data. However, their use is typically restricted to few covariates, because the presence of many predictors yields unstable estimates.
Groll, Andreas
core +3 more sources
Generalized Partially Functional Linear Model with Unknown Link Function
Axioms, 2023 In existing models with an unknown link function, the issue of predictors containing both multiple functional data and multiple scalar data has not been studied. To fill this gap, we propose a generalized partially functional linear model, which not only
Weiwei Xiao, Songxuan Li, Haiyan Liu
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ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models
Journal of Statistical Software, 2022 This paper describes the gretl function package ParMA, which provides Bayesian model averaging (BMA) in generalized linear models. In order to overcome the lack of analytical specification for many of the models covered, the package features an ...
Riccardo (Jack) Lucchetti, Luca Pedini
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Generalized deterministic linear model for coherent diffractive imaging
AIP Advances, 2022 A linear model for coherent diffractive imaging (CDI) is proposed herein. In this model, CDI is expressed as a system of linear equations in the frequency domain of an object and illumination.
Xiaoliang He +4 more
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Mathematics, 2022 We study the non-parametric estimation of partially linear generalized single-index functional models, where the systematic component of the model has a flexible functional semi-parametric form with a general link function.
Mohamed Alahiane +3 more
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