Results 51 to 60 of about 1,474,880 (186)

Generalized Approximate Survey Propagation for High-Dimensional Estimation

, 2019
In Generalized Linear Estimation (GLE) problems, we seek to estimate a signal that is observed through a linear transform followed by a component-wise, possibly nonlinear and noisy, channel.
Lu, Yue M., Lucibello, Carlo, Saglietti, Luca   +2 more
core   +1 more source

MODEL SEEMINGLY UNRELATED REGRESSION (SUR) [PDF]

, 2012
Model Seemingly Unrelated Regression (SUR) merupakan model regresi yang terdiri dari beberapa persamaan regresi (sistem persamaan regresi) yang saling berkorelasi .
Enti, Dwiningsih
core  

Vector Approximate Message Passing for the Generalized Linear Model

, 2016
The generalized linear model (GLM), where a random vector $\boldsymbol{x}$ is observed through a noisy, possibly nonlinear, function of a linear transform output $\boldsymbol{z}=\boldsymbol{Ax}$, arises in a range of applications such as robust ...
Fletcher, Alyson K., Rangan, Sundeep, Schniter, Philip   +2 more
core   +1 more source

FedGMMAT: Federated generalized linear mixed model association tests.

PLoS Computational Biology
Increasing genetic and phenotypic data size is critical for understanding the genetic determinants of diseases. Evidently, establishing practical means for collaboration and data sharing among institutions is a fundamental methodological barrier for ...
Wentao Li, Han Chen, Xiaoqian Jiang, Arif Harmanci   +3 more
doaj   +1 more source

Oil Production-Energy Consumption Relationship Modeling Using Generalized Linear Model

Energies
This study investigates the relationship between energy consumption and oil production in petroleum extraction using a Generalized Linear Model (GLM).
Qian Wei, Chao Chi, Wei Wang, Jun Mao, Dengyun Ma, Kailai Hu, Junru Luo   +6 more
doaj   +1 more source

Focused information criterion and model averaging for generalized additive partial linear models

, 2011
We study model selection and model averaging in generalized additive partial linear models (GAPLMs). Polynomial spline is used to approximate nonparametric functions.
Liang, Hua, Zhang, Xinyu
core   +1 more source

Albatross analytics a hands-on into practice: statistical and data science application

Journal of Big Data, 2022
Albatross Analytics is a statistical and data science data processing platform that researchers can use in disciplines of various fields. Albatross Analytics makes it easy to implement fundamental analysis for various regressions with random model ...
Rezzy Eko Caraka, Youngjo Lee, Jeongseop Han, Hangbin Lee, Maengseok Noh, Il Do Ha, Prana Ugiana Gio, Bens Pardamean   +7 more
doaj   +1 more source

Interacting two-component fluid models with varying EoS parameter

, 2014
In this paper, we consider Universe filled with two-component fluid. We study two different models. In the first model we assume barotropic fluid with the linear equation of state as the first component of total fluid.
Kahya, E. O., Khurshudyan, M., Pourhassan, B.   +2 more
core   +1 more source

Global and local distance-based generalized linear models [PDF]

, 2016
This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models first to the generalized linear model framework. Then, a nonparametric version of these models is proposed by means of local
Boj, Eva, Caballé, Adrià, Delicado Useros, Pedro Francisco, Esteve, Anna, Fortiana, Josep   +4 more
core   +1 more source

Using linear mixed model and dummy variable model approaches to construct compatible single-tree biomass equations at different scales - A case study for Masson pine in Southern China

Journal of Forest Science, 2012
The estimation of forest biomass is important for practical issues and scientific purposes in forestry. The estimation of forest biomass on a large-scale level would be merely possible with the application of generalized single-tree biomass models.
L.Y. Fu, W.S. Zeng, S.Z. Tang, R.P. Sharma, H.K. Li   +4 more
doaj   +1 more source