Results 141 to 150 of about 758,750 (320)

Hub genes and diagnostic model associated with mitochondrial function in Alzheimer's disease

open access: yesAnimal Models and Experimental Medicine, EarlyView.
Alzheimer's disease (AD) is the most common neurodegenerative disorder, and mitochondrial dysfunction has been confirmed in AD patients and mouse models. However, the pathogenic genes associated with AD and early diagnostic methods based on mitochondrial function remain to be explored.
Xuchao Zhu, Ling Zhang, Chuan Qin
wiley   +1 more source

Hierarchical shrinkage in time-varying parameter models [PDF]

open access: yes
In this paper, we forecast EU-area inflation with many predictors using time-varying parameter models. The facts that time-varying parameter models are parameter-rich and the time span of our data is relatively short motivate a desire for shrinkage.
Dimitris, Korobilis   +2 more
core   +1 more source

Gleaning the Rocky Shore? 2500 Years of Coastal Resource Use at Red Bluff 1, GunaiKurnai Country, SE Australia

open access: yesArchaeology in Oceania, EarlyView.
ABSTRACT Shell middens in Gippsland along the eastern half of Victoria's coastline have usually been characterised as small, short‐duration camp sites with relatively low shell densities and low taxonomic diversity. Here we present new excavation results from a dense, high‐diversity site at Red Bluff near the eastern end of GunaiKurnai Country, a ...
Patrick Faulkner   +17 more
wiley   +1 more source

Stochastic Collapsed Variational Inference for Sequential Data

open access: yes, 2015
Stochastic variational inference for collapsed models has recently been successfully applied to large scale topic modelling. In this paper, we propose a stochastic collapsed variational inference algorithm in the sequential data setting. Our algorithm is
Blunsom, Phil, Wang, Pengyu
core  

Drug‐Induced Raynaud's Phenomenon and Underlying Mechanism: A Disproportionality Analysis From the World Health Organization Pharmacovigilance Database

open access: yesArthritis &Rheumatology, EarlyView.
Objectives The aim of this study is to generate hypotheses about unknown drugs associated with the onset or worsening of Raynaud's phenomenon (RP) and to explore their potential pathophysiologic mechanisms through a mixed disproportionality/clustering analysis from the World Health Organization (WHO) pharmacovigilance database.
Alex Hlavaty   +4 more
wiley   +1 more source

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

open access: yesApplied Stochastic Models in Business and Industry, EarlyView.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco   +4 more
wiley   +1 more source

Bayesian Age-Period-Cohort Modeling and Prediction - BAMP

open access: yesJournal of Statistical Software, 2007
The software package BAMP provides a method of analyzing incidence or mortality data on the Lexis diagram, using a Bayesian version of an age-period-cohort model. A hierarchical model is assumed with a binomial model in the first-stage.
Volker J. Schmid, Leonhard Held
doaj  

Changes in Intrinsic Activity of the Primary Somatosensory Cortex Causally Explain Differences in Emotion Perception in Autism

open access: yesAutism Research, EarlyView.
ABSTRACT Autism Spectrum Disorder (ASD) is characterized by certain difficulties in emotion‐related processing. Recent research using electroencephalography (EEG) to measure somatosensory evoked potentials during emotion perception has shown reduced embodiment of emotional expressions in autistic compared to neurotypical individuals, independently from
Martina Fanghella   +5 more
wiley   +1 more source

Bayesian Workflow for Generative Modeling in Computational Psychiatry

open access: yesComputational Psychiatry
Computational (generative) modelling of behaviour has considerable potential for clinical applications. In order to unlock the potential of generative models, reliable statistical inference is crucial. For this, Bayesian workflow has been suggested which,
Alexander J. Hess   +10 more
doaj   +1 more source

Statistical modelling of railway track geometry degradation using Hierarchical Bayesian models

open access: yesReliability Engineering & System Safety, 2015
A. R. Andrade, P. F. Teixeira
semanticscholar   +1 more source

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