Results 171 to 180 of about 1,212,906 (326)

A Tutorial on Conducting and Interpreting a Bayesian Independent T‐Test Using Open‐Source Software

Journal of Advanced Nursing, EarlyView.
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

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

Journal of Microscopy, EarlyView.
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, Sara Silva Pereira, David Kirchenbuechler, Leandro Lemgruber, Constadina Arvanitis   +4 more
wiley   +1 more source

Bayes Theorem and Protopathic Bias: Methodological Concerns When Addressing the Impact of Fetal Heart Rate Patterns on the Cesarean Section Rate. [PDF]

AJP Rep, 2020
Balayla J, Lasry A, Gil Y, Volodarsky-Perel A.   +3 more
europepmc   +1 more source

A Simplified Formulation of Generalized Bayes' Theorem

, 2019
Jean Dezert, Albena Tchamova, Deqiang Han, Thanuka L. Wickramarathne   +3 more
openalex   +2 more sources

Price Indices Rekindled, 1970s–1990s: Theory and Practice at Cross Purposes?

Journal of Economic Surveys, EarlyView.
ABSTRACT This paper revisits the discussions on price indices during a period marked by theoretical advancements and practical challenges in measuring inflation. Index‐number theorists sought to improve accuracy, yet national statistical offices largely maintained established practices due to concerns over data availability, stability, and public trust.
Victor Cruz‐e‐Silva, Bert M. Balk
wiley   +1 more source

Do robots boost productivity? A quantitative meta‐study

Journal of Economic Surveys, EarlyView.
ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
wiley   +1 more source

A Bayesian approach to estimate the prevalence of low height-for-age from the prevalence of low weight-for-age

Cadernos de Saúde Pública
Victora et al. (1998) proposed the use of low weight-for-age prevalence to estimate the prevalence of height-for-age deficit in Brazilian children. This procedure was justified by the need to simplify methods used in the context of community health ...
Michael E. Reichenheim, Nicola G. Best
doaj  

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

A STUDY ON APPLICATION OF BAYES' THEOREM IN APPIN TECHNOLOGY

, 2019
Durga Devi.S, Elackya.S, Abhinandana.R
openalex   +3 more sources