Results 131 to 140 of about 5,701,088 (332)
Parameter priors for directed acyclic graphical models and the characterization of several probability distributions [PDF]
Dan Geiger, David Heckerman
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Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source
Stage‐Dependent Inhibitory Connectivity in Striatal‐Motor Circuit in Huntington's Disease
ABSTRACT Background Elucidating dysfunctional connectivity patterns among key brain regions in Huntington's disease (HD) underlying progression may have implications for developing treatment and therapeutic evaluation. Objective Explore the relationship between abnormal spontaneous resting‐state activity and atrophy in HD‐specific brain regions and ...
Yinghua Jing+4 more
wiley +1 more source
Adaptive decision-making often requires one to infer unobservable states based on incomplete information. Bayesian logic prescribes that individuals should do so by estimating the posterior probability by integrating the prior probability with new ...
Nicholas M. Singletary+2 more
doaj +1 more source
Improved stereo image matching using mutual information and hierarchical prior probabilities [PDF]
Clinton Fookes+2 more
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On the Strategic Impact of an Event under Non-Common Priors [PDF]
This paper studies the impact of a small probability event on strategic behavior in incomplete information games with non-common priors. It is shown that the global impact of a small probability event (i.e., its propensity to affect strategic behavior at
Oyama, Daisuke, Tercieux, Olivier
core +1 more source
ABSTRACT This case described a 25‐year‐old pregnant woman with refractory multifocal epilepsy, diagnosed in 2020 and treated with bilateral thalamic deep brain stimulation (DBS) targeting the centromedian and pulvinar nuclei. Prior to DBS, she experienced daily focal seizures, often progressing to generalized tonic–clonic seizures despite optimal ...
Shalin Shah+4 more
wiley +1 more source
SINGLE EVENT EFFECTS RADIATION TESTING REQUIREMENTS: A BAYESIN AN APPROACH
A key aspect of the safe operation of computing systems in environments with exposure to ionizing particles (such as ions, protons, and neutrons) is single-event effects (SEE) hardness assurance. Statistically reliable determination of the probability of
Armen V. Sogoyan+5 more
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Estimation of Geometric Mean for k Exponential Parameters Using a Probability Matching Prior [PDF]
Hea-Jung Kim, Dae Hwang Kim
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Prior Distributions on Spaces of Probability Measures
Methods of generating prior distributions on spaces of probability measures for use in Bayesian nonparametric inference are reviewed with special emphasis on the Dirichlet processes, the tailfree processes, and processes neutral to the right. Some applications are given.
openaire +3 more sources