Results 11 to 20 of about 1,282,217 (275)

Transfer Learning under High-dimensional Generalized Linear Models. [PDF]

J Am Stat Assoc, 2023
Tian Y, Feng Y.
europepmc   +2 more sources

Nonparametric inference in generalized functional linear models [PDF]

, 2015
We propose a roughness regularization approach in making nonparametric inference for generalized functional linear models. In a reproducing kernel Hilbert space framework, we construct asymptotically valid confidence intervals for regression mean ...
Cheng, Guang, Shang, Zuofeng
core   +1 more source

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
doaj   +1 more source

Robust estimates in generalized partially linear models [PDF]

, 2006
In this paper, we introduce a family of robust estimates for the parametric and nonparametric components under a generalized partially linear model, where the data are modeled by $y_i|(\mathbf{x}_i,t_i)\sim F(\cdot,\mu_i)$ with $\mu_i=H(\eta(t_i)+\mathbf{
Boente, Graciela, He, Xuming, Zhou, Jianhui   +2 more
core   +2 more sources

Bayesian Inference for Spatial Beta Generalized Linear Mixed Models [PDF]

Journal of Sciences, Islamic Republic of Iran, 2018
In some applications, the response variable assumes values in the unit interval. The standard linear regression model is not appropriate for modelling this type of data because the normality assumption is not met. Alternatively, the beta regression model
L. Kalhori Nadrabadi, M. Mohhamadzadeh
doaj   +1 more source

Quantifying Reserve Uncertainty Using Stochastic Multivariate Generalized Linear Model: A Case Study on Egyptian General Insurance Market [PDF]

Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ
Accurate claims reserving is crucial for insurance companies as it directly influences risk assessment, pricing strategies, and overall financial position. Traditional univariate reserving approaches, which treat each line of business independently, fail
شانا يوسف عبدالله, محمود السيد, داليا خليل   +2 more
doaj   +1 more source

Hyper-g Priors for Generalized Linear Models [PDF]

, 2010
We develop an extension of the classical Zellner's g-prior to generalized linear models. The prior on the hyperparameter g is handled in a flexible way, so that any continuous proper hyperprior f(g) can be used, giving rise to a large class of hyper-g ...
Bové, Daniel Sabanés, Held, Leonhard
core   +1 more source

Generalized Linear Models

Journal of the Royal Statistical Society. Series A (General), 1972
The technique of iterative weighted linear regression can be used to obtain maximum likelihood estimates of the parameters with observations distributed according to some exponential family and systematic effects that can be made linear by a suitable transformation.
Nelder, J. A., Wedderburn, R. W. M.
openaire   +1 more source

Analysis of Robust Quasi-deviances for Generalized Linear Models

Journal of Statistical Software, 2004
Generalized linear models (McCullagh and Nelder 1989) are a popular technique for modeling a large variety of continuous and discrete data. They assume that the response variables Yi , for i = 1, . . .
Eva Cantoni
doaj   +3 more sources

Spatial-temporal rainfall simulation using generalized linear models [PDF]

, 2005
We consider the problem of simulating sequences of daily rainfall at a network of sites in such a way as to reproduce a variety of properties realistically over a range of spatial scales.
Chandler, RE, Isham, VS, Wheater, HS, Yang, C   +3 more
core   +1 more source