Bayesian Thinking (Bayesian Method, Bayesian Inference, etc.) Research Papers

Spatio-temporal analysis of childhood vaccine uptake in Nigeria: a hierarchical Bayesian Zero-inflated Poisson approach

Abstract Background Globally, child mortality and morbidity remain a serious health challenge and infectious diseases are the leading causes. The use of count models together with spatial analysis of the number of doses of childhood vaccine...

NOMINATA DE AVALIADORAS E AVALIADORES

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Influence of Non - Condensable Gases on the Processes of Heat and Mass Transfer during Film Condensation of Steam in Heat Exchangers

The aim of the article is a quantitative assessment of the influence of non-condensable gases on the intensity of heat and mass transfer processes during film condensation of steam in the specific conditions for heat exchanger. The task is ...

BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses

Abstract Background Several reviews have noted shortcomings regarding the quality and reporting of network meta-analyses (NMAs). We suspect that this issue may be partially attributable to limitations in current NMA software which do not re...

Genetic impact of non-consanguineous marriages in Saudi Arabia.

Background: Physicians and geneticists face challenges in making accurate diagnoses during clinical evaluations; affecting patients and clinicians. The aim of this study was to estimate the hit rate of the non-consanguineous population. Mor...

SCIENTIFIC AND METHODOLOGICAL APPROACHES TO A COMPREHENSIVE ASSESSMENT OF THE COMPETITIVE POTENTIAL OF ENTERPRISES AND TERRITORIES

The purpose of the article is to generalize and substantiate scientific and methodological approaches to a comprehensive assessment of the competitive potential of enterprises and territories. The methodology of the comprehensive study made...

Interplay Between Vertical and Horizontal Schemes of Computation: From Bayesian Inference to Quantum Logic via Gluing Boolean Algebras

Artificial intelligence is typically formulated as an information-processing system composed of artificial neurons, where computation is understood as recursive operations connecting inputs and outputs. However, real neural systems are mate...

A Comparison of Three Ways to Measure Time-Dependent Densities With Quantum Simulators

Quantum algorithms are touted as a way around some classically intractable problems such as the simulation of quantum mechanics. At the end of all quantum algorithms is a quantum measurement whereby classical data is extracted and utilized....

The Mode of Constructing Safe Trajectories of Motion of the Unmanned Aerial Vehicle while Monitoring Power Lines Considering the Influence of their Electromagnetic Fields

The aim of this paper is to increase the flight safety of an unmanned aerial vehicle that monitors power lines under the negative influence of electromagnetic fields on the on-board equipment. This problem was solved with algorithms for pho...

An introduction to Bayesian simulation-based inference for quantum machine learning with examples

Simulation is an indispensable tool in both engineering and the sciences. In simulation-based modeling, a parametric simulator is adopted as a mechanistic model of a physical system. The problem of designing algorithms that optimize the sim...

Challenges in myeloperoxidase quantification: the inadequacies of current colorimetric approaches

Real time, in vivo measurement of neuronal and peripheral clocks in Drosophila melanogaster

Circadian clocks are highly conserved transcriptional regulators that control ~24 hr oscillations in gene expression, physiological function, and behavior. Circadian clocks exist in almost every tissue and are thought to control tissue-spec...