Results 51 to 60 of about 231,507 (192)

Enhancing Bayesian Approaches in the Cognitive and Neural Sciences via Complex Dynamical Systems Theory

open access: yesDynamics, 2023
In the cognitive and neural sciences, Bayesianism refers to a collection of concepts and methods stemming from various implementations of Bayes’ theorem, which is a formal way to calculate the conditional probability of a hypothesis being true based on ...
Luis H. Favela, Mary Jean Amon
doaj   +1 more source

Applying Bayes linear methods to support reliability procurement decisions [PDF]

open access: yes, 2008
Bayesian methods are common in reliability and risk assessment, however, such methods often demand a large amount of specification and can be computationally intensive.
Bedford, Tim   +4 more
core   +1 more source

The Sky Has Its Limits in COVID-19 Testing

open access: yesRambam Maimonides Medical Journal, 2020
At the time of writing, in July 2020, the COVID-19 pandemic has already inflicted dramatic international restrictions, including airports closing and limiting international travel. It has been suggested that re-opening of airports should involve and even
Shai Lin, Shay Tzafrir, Shay Gueron
doaj   +1 more source

Index theorem for inhomogeneous hypoelliptic differential operators [PDF]

open access: yesarXiv, 2020
We prove an index theorem for inhomogeneous differential operators satisfying the Rockland condition (hence hypoelliptic). This theorem extends an index theorem for contact manifolds by Van-Erp.
arxiv  

Bayesian Updating, Model Class Selection and Robust Stochastic Predictions of Structural Response [PDF]

open access: yes, 2011
A fundamental issue when predicting structural response by using mathematical models is how to treat both modeling and excitation uncertainty. A general framework for this is presented which uses probability as a multi-valued conditional logic for ...
Beck, James L.
core  

Supermodular Extension of Vizing's Edge-Coloring Theorem [PDF]

open access: yesarXiv, 2022
K\H{o}nig's edge-coloring theorem for bipartite graphs and Vizing's edge-coloring theorem for general graphs are celebrated results in graph theory and combinatorial optimization. Schrijver generalized K\H{o}nig's theorem to a framework defined with a pair of intersecting supermodular functions. The result is called the supermodular coloring theorem.
arxiv  

The Bayesian Analysis of Complex, High-Dimensional Models: Can It Be CODA? [PDF]

open access: yes, 2014
We consider the Bayesian analysis of a few complex, high-dimensional models and show that intuitive priors, which are not tailored to the fine details of the model and the estimated parameters, produce estimators which perform poorly in situations in ...
Bickel, P. J.   +3 more
core   +3 more sources

An application of Bayes’ theorem to a problem of Cultural astronomy interest [PDF]

open access: yesCultural Heritage and Modern Technologies
In this paper, an elliptical enclosure, found at Piani d’Avaro (Bergamo Province, Lombardy, Northern Italy) was examined from an astronomical point of view.
Adriano Gaspani, Stefano Spagocci
doaj   +1 more source

Sistem Pakar Untuk Diagnosis Hama Pada Tanaman Jambu Air Menggunakan Metode Theorema Bayes

open access: yesJurnal Ilmiah Informatika, 2020
Technology is a tool or means used by humans to make ends meet. Technological development covers various aspects of life, such as health, education and in agriculture.
Yoga Junaedi   +2 more
doaj   +1 more source

From abstract alpha-Ramsey theory to abstract ultra-Ramsey theory [PDF]

open access: yesarXiv, 2016
We work within the framework of the Alpha-Theory introduced by Benci and Di Nasso. The Alpha-Theory postulates a few natural properties for an infinite "ideal" number $\alpha$. The formulation provides an elementary axiomatics for the methods of abstract ultra-Ramsey theory.
arxiv  

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