Results 101 to 110 of about 373,771 (313)

Estimation of the Contaminant Risk Level of Petroleum Residues Applying FDA Techniques

Latin-American Journal of Computing, 2017
In the process of oil extraction, specifically in therefinement and industrialization of hydrocarbons, as is known,multiple wastes are highly polluting for the soil, water and air.In this work, the risk level of these wastes in affected areasis estimated
Miguel Flores, Ana Escobar, Luis Horna, Lucia Carrión   +3 more
doaj  

Robust Bayesian general linear models

NeuroImage, 2007
We describe a Bayesian learning algorithm for Robust General Linear Models (RGLMs). The noise is modeled as a Mixture of Gaussians rather than the usual single Gaussian. This allows different data points to be associated with different noise levels and effectively provides a robust estimation of regression coefficients.
Will D. Penny, James Kilner, Felix Blankenburg   +2 more
openaire   +3 more sources

Spinal Cord Infarction Versus Idiopathic Transverse Myelitis: Clinical, Radiological, and Functional Insights From a Retrospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Spinal cord infarction (SCI) is a rare but devastating myelopathy, characterized by a high disability rate and an unfavorable prognosis. It has often been underdiagnosed and misdiagnosed as idiopathic transverse myelitis (ITM). This study aimed to describe the clinical features, radiological biomarkers, treatments, and functional ...
Zeqiang Ji, Jianlong Zhang, Yiming Shi, Shiyu Shan, Yang Du, Guangshuo Li, Ying Jin, Yani Zhang, Chuanying Wang, Yijun Lin, Yuhao Guo, Decai Tian, Xingquan Zhao, Tian Song   +13 more
wiley   +1 more source

A Generalized Linear Model and Machine Learning Approach for Predicting the Frequency and Severity of Cargo Insurance in Thailand’s Border Trade Context

Risks
The study compares model approaches in predictive modeling for claim frequency and severity within the cross-border cargo insurance domain. The aim is to identify the optimal model approach between generalized linear models (GLMs) and advanced machine ...
Praiya Panjee, Sataporn Amornsawadwatana
doaj   +1 more source

L_2 Differentiability of Generalized Linear Models

Statistics & Probability Letters, 2014
10 ...
Pupashenko, Daria, Ruckdeschel, Peter, Kohl, Matthias   +2 more
openaire   +4 more sources

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler, Vivian Maas, Arian Taheri Amin, Jennifer Faber, Tamara Schaprian, Katharina Hill, Matthis Synofzik, Lisa H. Graf, Heike Jacobi, Manuela Lima, Ana F. Ferreira, Bart P. van de Warrenburg, Ilse H. J. Willemse, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia‐Moreno, Magda M. Santana, Jeannette Hübener‐Schmid, Elin H. Davies, Thomas Klockgether   +20 more
wiley   +1 more source

Leaf count overdispersion in coffee seedlings

Ciência Rural, 2019
: Coffee crops play an important role in Brazilian agriculture, with a high level of social and economic participation resulting from the jobs created in the supply chain and from the income obtained by producers and the revenue generated for the ...
Edilson Marcelino Silva, Thais Destefani Ribeiro Furtado, Jaqueline Gonçalves Fernandes, Marcelo Ângelo Cirillo, Joel Augusto Muniz   +4 more
doaj   +1 more source

A General Bayesian Linear Model

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1973
Summary Lindley and Smith (1972), using a hierarchical form of prior structure, derived Bayesian alternatives to least squares estimates for the linear model. This paper examines the Bayesian model in more detail and notes some general properties of the resulting estimators.
openaire   +2 more sources

Genetic heterogeneity of residual variance - estimation of variance components using double hierarchical generalized linear models

, 2010
Background The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals.
Erling Strandberg, Rönnegård, Lars, Mulder, Herman A., Felleki Majbritt, Fikse, Freddy, Rönnegård Lars, Majbritt Felleki, Ronnegard, L., Fikse Freddy, Felleki, M., Lars Rönnegård, Freddy Fikse, Herman A Mulder, Strandberg Erling, Mulder, H.A., Strandberg, Erling, Fikse, F., Felleki, Majbritt, Mulder Herman A, Strandberg, E., Rönnegård, Lars,, Felleki, Majbritt,   +21 more
core   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source