Results 31 to 40 of about 4,618,210 (296)

Prior Elicitation in Multiple Change-Point Models [PDF]

open access: yesInternational Economic Review, 2004
This paper discusses Bayesian inference in change-point models. Current approaches place a possibly hierarchical prior over a known number of change points. We show how two popular priors have some potentially undesirable properties, such as allocating excessive prior weight to change points near the end of the sample.
Koop, Gary, Potter, Simon M.
openaire   +8 more sources

Self-supervised learning with deep clustering for target detection in hyperspectral images with insufficient spectral variation prior

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2023
Target detection in hyperspectral images (HSIs) mainly relies on the spectral information of the target prior. However, prior spectra with precise variation information are often hard to obtain, and the “different objects with the same spectrum ...
Xiaodian Zhang   +7 more
doaj   +1 more source

Default priors for density estimation with mixture models [PDF]

open access: yes, 2010
The infinite mixture of normals model has become a popular method for density estimation problems. This paper proposes an alternative hierarchical model that leads to hyperparameters that can be interpreted as the location, scale and smoothness of the ...
Griffin, Jim E.
core   +1 more source

Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: Procedure development using CaliBrain structural MRI data

open access: yesBMC Medical Imaging, 2009
Background Structural Magnetic Resonance Imaging (sMRI) of the brain is employed in the assessment of a wide range of neuropsychiatric disorders. In order to improve statistical power in such studies it is desirable to pool scanning resources from ...
Waiter Gordon D   +14 more
doaj   +1 more source

The Importance of Prior Sensitivity Analysis in Bayesian Statistics: Demonstrations Using an Interactive Shiny App

open access: yesFrontiers in Psychology, 2020
The current paper highlights a new, interactive Shiny App that can be used to aid in understanding and teaching the important task of conducting a prior sensitivity analysis when implementing Bayesian estimation methods.
Sarah Depaoli   +2 more
doaj   +1 more source

Estimation of groundwater recharge using multiple climate models in Bayesian frameworks

open access: yesJournal of Water and Climate Change, 2021
Groundwater recharge plays a vital role in replenishing aquifers, sustaining demand, and reducing adverse effects (e.g. land subsidence). In order to manage climate change-induced effects on groundwater dynamics, climate models are increasingly being ...
Kevin O. Achieng, Jianting Zhu
doaj   +1 more source

Multiple Target Tracking with Motion Priors [PDF]

open access: yes, 2011
This paper presents a particle filter-based approach for multiple target tracking in video streams in single static cameras settings. We aim in particular to manage mid-dense crowds situations, where, although tracking is possible, it is made complicated by the presence of frequent occlusions among targets and with scene clutter.
Francisco Madrigal   +2 more
openaire   +1 more source

Bayesian Model Averaging With Fixed and Flexible Priors: Theory, Concepts, and Calibration Experiments for Rainfall‐Runoff Modeling

open access: yesJournal of Advances in Modeling Earth Systems, 2020
This paper introduces for the first time the concept of Bayesian model averaging (BMA) with multiple prior structures, for rainfall‐runoff modeling applications. The original BMA model proposed by Raftery et al.
S. Samadi   +3 more
doaj   +1 more source

Inpainting larger missing regions via progressive guidance decoding network

open access: yesComplex & Intelligent Systems, 2023
For images corrupted for various reasons, the size of the corrupted area is often arbitrary and it has been a challenge to inpainting the larger missing areas.
Xiucheng Dong   +3 more
doaj   +1 more source

Mixtures of g-priors for Bayesian model averaging with economic applications [PDF]

open access: yes, 2010
We examine the issue of variable selection in linear regression modeling, where we have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the ap- propriate subset.
Ley, Eduardo   +2 more
core   +1 more source

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