Results 21 to 30 of about 41,630 (304)
Teaching Bayes’ Theorem: Strength of Evidence as Predictive Accuracy [PDF]
American Statistician, 2017 Although teaching Bayes’ theorem is popular, the standard approach—targeting posterior distributions of parameters—may be improved. We advocate teaching Bayes’ theorem in a ratio form where the posterior beliefs relative to the prior beliefs equals the ...
Richard D. Morey +3 more
core +2 more sources
Cogent Medicine, 2016 We obtain the input data for Bayes Theorem, and use the theorem to determine the probability of a patient having a lumbar HNP, given only a positive MRI.
David Trafimow +2 more
exaly +2 more sources
Prevalence of Birt-Hogg-Dubé Syndrome Determined Through Epidemiological Data on Spontaneous Pneumothorax and Bayes Theorem. [PDF]
Front Med (Lausanne), 2021 Background: Birt-Hogg-Dubé syndrome (BHD) is a rare inherited disorder characterized by cutaneous fibrofolliculomas, multiple pulmonary cysts, recurrent spontaneous pneumothorax (SP), and renal tumors.
Muller ME, Daccord C, Taffé P, Lazor R.
europepmc +2 more sources
A multidimensional unfolding method based on Bayes' Theorem
, 1994 Bayes' theorem offers a natural way to unfold experimental distributions in order to get the best estimates of the true ones. The weak point of the Bayes approach, namely the need of the knowledge of the initial distribution, can be overcome by an ...
D'Agostini, G., D'Agostini, Giulio
core +3 more sources
A non-commutative Bayes' theorem [PDF]
Linear Algebra and its Applications, 2020 Using a diagrammatic reformulation of Bayes' theorem, we provide a necessary and sufficient condition for the existence of Bayesian inference in the setting of finite-dimensional $C^*$-algebras.
A. Parzygnat, Benjamin P. Russo
semanticscholar +1 more source
Bayes' theorem, the ROC diagram and reference values: Definition and use in clinical diagnosis. [PDF]
Biochem Med (Zagreb), 2018 Medicine is diagnosis, treatment and care. To diagnose is to consider the probability of the cause of discomfort experienced by the patient. The physician may face many options and all decisions are liable to uncertainty to some extent.
Kallner A.
europepmc +2 more sources
Using Bayes' Theorem for Command Input: Principle, Models, and Applications
International Conference on Human Factors in Computing Systems, 2020 Entering commands on touchscreens can be noisy, but existing interfaces commonly adopt deterministic principles for deciding targets and often result in errors. Building on prior research of using Bayes' theorem to handle uncertainty in input, this paper
Suwen Zhu +8 more
semanticscholar +1 more source
Trends in epidemiology in the 21st century: time to adopt Bayesian methods
Cadernos de Saúde Pública, 2014 2013 marked the 250th anniversary of the presentation of Bayes’ theorem by the philosopher Richard Price. Thomas Bayes was a figure little known in his own time, but in the 20th century the theorem that bears his name became widely used in many fields of
Edson Zangiacomi Martinez +1 more
doaj +1 more source
BMC Pregnancy and Childbirth, 2022 Background Despite international clinical guideline recommendations, implementation of Bayes-theorem based preeclampsia risk prediction model in first trimester among Chinese women is limited. The aim of this study is to examine the effectiveness of this
Qiongjie Zhou +3 more
doaj +1 more source
Probability of sporadic lymphangioleiomyomatosis in women presenting with spontaneous pneumothorax
Orphanet Journal of Rare Diseases, 2023 Background Sporadic lymphangioleiomyomatosis (S-LAM) is a rare low-grade neoplasm of young women characterized by multiple pulmonary cysts leading to progressive dyspnea and recurrent spontaneous pneumothorax (SP).
Audrey Suter +4 more
doaj +1 more source