Results 41 to 50 of about 87,887 (126)

Error rates in SARS-CoV-2 testing examined with Bayes' theorem

Heliyon, 2021
The SARS-CoV-2 pandemic has created a demand for large scale testing, as part of the effort to understand and control transmission. It is important to quantify the error rates of test equipment under field conditions, which might differ significantly ...
P.M. Bentley
doaj  

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

Jurnal 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, Betha Nurina Sari, Agung Susilo Yuda Irawan   +2 more
doaj   +1 more source

Universal efficiency at optimal work with Bayesian statistics

, 2010
If the work per cycle of a quantum heat engine is averaged over an appropriate prior distribution for an external parameter $a$, the work becomes optimal at Curzon-Ahlborn efficiency.
E. T. Jaynes, H. Jeffreys, H. Jeffreys, H. S. Leff, J. Gemmer, Ramandeep S. Johal   +5 more
core   +1 more source

Bayesian Analysis of Many-Pole Fits of Hadron Propagators in Lattice QCD [PDF]

, 1996
We use Bayes' probability theorem to analyze many-pole fits of hadron propagators. An alternative method of estimating values and uncertainties of the fit parameters is offered, which has certain advantages over the conventional methods.
Bretthorst, Catterall, D. Makovoz, Iwasaki, Makovoz, Makovoz, Toussaint   +6 more
core   +2 more sources

A Misuse of Bayes's Theorem

Informal Logic, 1999
In this paper I identify a fallacy. The fallacy is worth noting for practical and theoretical reasons. First, the rampant occurrences ofthis fallacy-especially at moments calling for careful thought-indicate that it is more pernicious to clear thinking than many of those found in standard logic texts.
openaire   +4 more sources

EXPLAINING THE BAYES’ THEOREM GRAPHICALLY [PDF]

INTED Proceedings, 2018
The Bayes’ theorem on conditional probabilities is normally presented to students in introductory courses/modules on Statistics and Probability. This because most STEM students will make use of conditional probabilities in their professional lives with or without noticing.
Pablo Ballesteros-Pérez, M. Carmen Gonzalez-Cruz, Daniel Mora-Melia   +2 more
openaire   +2 more sources

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

, 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  

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

, 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, Denning, Richard, IEEE, Revie, Matthew, Walls, Lesley   +4 more
core   +1 more source

Profession recommendation based on multiple intelligence for high school students [PDF]

Management Science Letters
One of the problems students often face is the lack of understanding of their interests and talents which will cause confusion in making future study choices and career plans.
Heribertus Ary Setyadi, Supriyanta Supriyanta, Diyah Ruswanti, Hartati Dyah Wahyuningsih   +3 more
doaj   +1 more source

A new uniform framework of source attribution in forensic science

Humanities & Social Sciences Communications, 2022
Scientific principles of forensic source identification have attracted widespread interest in recent years. Among those presented principles and theorems, the Bayes inference was regarded as one of the most scientific principles.
Zhihui Li, Yao Liu, Xiyuan Hu, Guiqiang Wang   +3 more
doaj   +1 more source