Results 111 to 120 of about 518,510 (312)

Efficient Bayesian inference for partially observed stochastic epidemics and a new class of semi-parametric time series models [PDF]

open access: yes, 2007
This thesis is divided in two distinct parts. In the First part we are concerned with developing new statistical methodology for drawing Bayesian inference for partially observed stochastic epidemic models.
Kypraios, Theodoros, Kypraios, Theodore
core  

Real-time information processing of environmental sensor network data using Bayesian Gaussian processes

open access: yes, 2012
In this article, we consider the problem faced by a sensor network operator who must infer, in real time, the value of some environmental parameter that is being monitored at discrete points in space and time by a sensor network.
Osborne, Michael A.   +8 more
core   +1 more source

Dundee Discussion Papers in Economics 253:Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal [PDF]

open access: yes, 2011
Spatial heterogeneity, spatial dependence and spatial scale constitute key features of spatial analysis of housing markets. However, the common practice of modelling spatial dependence as being generated by spatial interactions through a known spatial ...
Bhattacharjee, Arnab   +3 more
core   +1 more source

Choroid Plexus Enlargement and USPIO‐Based Inflammatory Feature in Cerebral Small Vessel Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The choroid plexus (CP) is a key component of the blood–cerebrospinal fluid barrier (BCSFB), but its mechanism of action in cerebral small vessel disease (CSVD) remains unclear. This study investigated CP volume (CPV) alterations and their association with conventional imaging markers in CSVD and explored the underlying role of ...
Yongqiang Qu   +11 more
wiley   +1 more source

ViViMZheimer a slice based end to end model for Alzheimer’s disease diagnosis from 3D MRI

open access: yesScientific Reports
Slice-based models have been widely applied in Alzheimer’s disease (AD) identification tasks due to their reduced parameter count and fast inference speed.
Juan Zhou   +6 more
doaj   +1 more source

Large-scale context and local insight: songbird population trends in the Great Plains

open access: yesFrontiers in Bird Science
Effective conservation of declining songbird species in the Great Plains of North America requires robust population trend estimates across spatial scales.
Kelsey Miller   +2 more
doaj   +1 more source

Inference Generation and Reading Disability [PDF]

open access: yes, 2009
This thesis investigated on-line inference generation in 7 to 10-year-old children. Using the Simple View of Reading (Gough & Tunmer, 1986) as a framework to classify reading disability, poor comprehenders and poor decoders were compared with ...
Clarke, Leesa
core  

Structural Interactions in Spatial Panels

open access: yes, 2009
Cross-sectional and spatial dependence, Spatial weights matrix, Spatial interactions, Monetary policy committee, Generalised method of moments, E42, E43, E50, E58,
Bhattacharjee, Arnab   +4 more
core   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan   +14 more
wiley   +1 more source

Uncovering hidden spatial structure in species communities with spatially explicit joint species distribution models

open access: yes, 2016
Modern species distribution models account for spatial autocorrelation in order to obtain unbiased statistical inference on the effects of covariates, to improve the model's predictive ability through spatial interpolation and to gain insight in the ...
O. Ovaskainen   +3 more
semanticscholar   +1 more source

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