Results 11 to 20 of about 37,404 (267)

Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem

Water Resources Research, 2023
Bayesian model selection (BMS) and Bayesian model justifiability analysis (BMJ) provide a statistically rigorous framework for comparing competing models through the use of Bayesian model evidence (BME).
Maria Fernanda Morales Oreamuno, Sergey Oladyshkin, Wolfgang Nowak   +2 more
doaj   +1 more source

Social determinants of health and adolescent childbearing in WHO Eastern Mediterranean countries

International Journal for Equity in Health, 2023
Objectives Teenage pregnancy and motherhood is a crucial problem in countries of the World Health Organisation Eastern Mediterranean Region (WHO–EMR).
Abdesslam Boutayeb
doaj   +1 more source

Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture

Energies, 2020
Thermochemical Energy Storage (TCES), specifically the calcium oxide (CaO)/calcium hydroxide (Ca(OH)2) system is a promising energy storage technology with relatively high energy density and low cost. However, the existing models available to predict the
Timothy Praditia, Thilo Walser, Sergey Oladyshkin, Wolfgang Nowak   +3 more
doaj   +1 more source

Modelling of Functional Profiles and Explainable Shape Shifts Detection: An Approach Combining the Notion of the Fréchet Mean with the Shape-Invariant Model

Mathematics, 2023
A modelling framework suitable for detecting shape shifts in functional profiles combining the notion of the Fréchet mean and the concept of deformation models is developed and proposed.
Georgios I. Papayiannis, Stelios Psarakis, Athanasios N. Yannacopoulos   +2 more
doaj   +1 more source

Bayesian³ Active Learning for the Gaussian Process Emulator Using Information Theory

Entropy, 2020
Gaussian process emulators (GPE) are a machine learning approach that replicates computational demanding models using training runs of that model. Constructing such a surrogate is very challenging and, in the context of Bayesian inference, the training ...
Sergey Oladyshkin, Farid Mohammadi, Ilja Kroeker, Wolfgang Nowak   +3 more
doaj   +1 more source

A Simulation Method For Effectiveness Evaluation of Distributed Systems [PDF]

Biuletyn Wojskowej Akademii Technicznej, 2014
This paper presents a simulation method for evaluating the effectiveness of distributed systems based on passing messages. For mathematical modelling of these systems, two paradigms were used, i.e.
Zbigniew Wesołowski
doaj   +1 more source

Improved image recognition via Synthetic Plants using 3D Modelling with Stochastic Variations [PDF]

BIO Web of Conferences, 2023
This research extends previous plant modelling using L-systems by means of a novel arrangement comprising synthetic plants and a refined global wheat dataset in combination with a synthetic inference application.
Napier Chris C., Cook David M., Armstrong Leisa, Diepeveen Dean   +3 more
doaj   +1 more source

Phase and Amplitude Synchronization in Power-Grid Frequency Fluctuations in the Nordic Grid

IEEE Access, 2022
Monitoring and modelling the power grid frequency is key to ensuring stability in the electrical power system. Many tools exist to investigate the detailed deterministic dynamics and especially the bulk behaviour of the frequency.
Leonardo Rydin Gorjao, Luigi Vanfretti, Dirk Witthaut, Christian Beck, Benjamin Schafer   +4 more
doaj   +1 more source

The Connection between Bayesian Inference and Information Theory for Model Selection, Information Gain and Experimental Design

Entropy, 2019
We show a link between Bayesian inference and information theory that is useful for model selection, assessment of information entropy and experimental design.
Sergey Oladyshkin, Wolfgang Nowak
doaj   +1 more source

On parameter estimation for stochastic logistic growth laws through the maximum likelihood procedure

Lietuvos Matematikos Rinkinys, 2004
A three alternative stochastic logistic growth models (exponential, Verhulst, Gompertz) are used for modelling of growth processes. The aim of this paper is to develop stochastic growth curves for all three stochastic growth models.
Petras Rupšys
doaj   +3 more sources