Results 41 to 50 of about 141,753 (193)
Development of rental property insurance models with Generalized Linear Models (GLM)
Journal of Physics: Conference Series, 2019 Abstract In this paper we developed insurance model on property rental business using. Generalized Linear Models (GLM). GLM was chosen because the data on property rental match with the characteristics of GLM. Analysis of the model is done by looking at the relationship between the distribution functions that are most widely used in the ...
S Sudarwanto, L Ambarwati, I Hadi
openaire +1 more source
Genome-wide association study for carcass weight in pasture-finished beef cattle in Hawai’i
Frontiers in Genetics, 2023 Introduction: Genome-wide association studies (GWAS) have identified genetic markers for cattle production and reproduction traits. Several publications have reported Single Nucleotide Polymorphisms (SNPs) for carcass-related traits in cattle, but these ...
Mandeep Adhikari +8 more
doaj +1 more source
NeuroImage, 2020 Techniques of multivariate pattern analysis (MVPA) can be used to decode the discrete experimental condition or a continuous modulator variable from measured brain activity during a particular trial. In functional magnetic resonance imaging (fMRI), trial-
Joram Soch +2 more
doaj +1 more source
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. +2 more
core +1 more source
The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression [PDF]
, 2015 Revealing hidden patterns in astronomical data is often the path to fundamental scientific breakthroughs; meanwhile the complexity of scientific inquiry increases as more subtle relationships are sought.
Biffi, V. +8 more
core +2 more sources
Non-Convex Penalized Estimation of Count Data Responses via Generalized Linear Model (GLM)
Asian Journal of Fuzzy and Applied Mathematics, 2020 This study provided a non-convex penalized estimation procedure via Smoothed Clipped Absolute Deviation (SCAD) and Minimax Concave Penalty (MCP) for count data responses to checkmate the problem of covariates exceeding the sample size . The Generalized Linear Model (GLM) approach was adopted in obtaining the penalized functions needed by the MCP and ...
Rasaki Olawale Olanrewaju +1 more
openaire +2 more sources
iScience, 2023 Summary: Hand preference is one of the behavioral expressions of lateralization in the brain. Previous fMRI studies showed the activation in several regions including the motor cortex and the cerebellum during single-hand movement.
Tomokazu Tsurugizawa +3 more
doaj +1 more source
Model selection and minimax estimation in generalized linear models
, 2016 We consider model selection in generalized linear models (GLM) for high-dimensional data and propose a wide class of model selection criteria based on penalized maximum likelihood with a complexity penalty on the model size.
Abramovich, Felix, Grinshtein, Vadim
core +1 more source
Design Issues for Generalized Linear Models: A Review
, 2006 Generalized linear models (GLMs) have been used quite effectively in the modeling of a mean response under nonstandard conditions, where discrete as well as continuous data distributions can be accommodated.
Ghosh, Malay +3 more
core +3 more sources
Spatial Smoothing Techniques for the Assessment of Habitat Suitability [PDF]
, 2006 Precise knowledge about factors influencing the habitat suitability of a certain species forms the basis for the implementation of effective programs to conserve biological diversity.
Hothorn, Torsten +2 more
core +2 more sources