Experimental probabilistic pragmatics beyond Bayes’ theorem
Pfeifer Niki
doaj +1 more source
How Important Is the Home Market for Cross‐Listed Biotech Companies?
ABSTRACT This study investigates five German biotechnology firms cross‐listed on XETRA and NASDAQ. By employing high‐frequency data, we estimate both bivariate and trivariate vector error correction models—the latter explicitly accounting for exchange rate dynamics—to assess which market, domestic or U.S., leads in price discovery.
Theodore Panagiotidis, Pavlos Tsiokas
wiley +1 more source
Bayes' Theorem for Multi-Bearing Faults Diagnosis
Ts. YEO SIANG CHUAN +3 more
openalex +2 more sources
Unconditional Variance Estimation Under Complex Surveys
Summary The unconditional framework treats the samples and the variables of interest as random variables. This is particularly suitable with analytic inference, when modelling survey data. We show that variance estimation does not involve finite population corrections and joint‐inclusion probabilities, even with large sampling fractions and under ...
Yves G. Berger
wiley +1 more source
Probability and Body Composition of Metabolic Syndrome in Young Adults: Use of the Bayes Theorem as Diagnostic Evidence of the Waist-to-Height Ratio [PDF]
Ashuin Kammar‐García +4 more
openalex +1 more source
A Tutorial on Conducting and Interpreting a Bayesian Independent T‐Test Using Open‐Source Software
ABSTRACT Aim To demonstrate a worked‐out example of a Bayesian independent t‐test using open‐source software, simulated data, a hypothetical nurse education intervention and a randomised controlled study design. This tutorial explains relevant Bayesian concepts and highlights literature that provides statistically principled justifications for ...
Helen Evelyn Malone, Imelda Coyne
wiley +1 more source
Personality Prediction from Stack Overflow by using Naïve Bayes Theorem in Data Mining
Sandhya Katiyar +2 more
openalex +1 more source
Two-locus linkage analysis using recombinant inbred strains and Bayes' theorem. [PDF]
Paul E. Neumann
openalex +1 more source
Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz +4 more
wiley +1 more source
Weighted naïve bayes multi-user classification for adaptive authentication
Machine learning classification algorithms have been extensively utilized in addressing user authentication challenges. Nonetheless, a majority of solutions categorize users into three classes, whereas adaptive authentication scenarios necessitate ...
Prudence M Mavhemwa +3 more
doaj +1 more source

