Results 141 to 150 of about 575,581 (334)

A discrete-time split-state framework for multi-state modeling with application to describing the course of heart disease

BMC Medical Research Methodology
In chronic disease epidemiology, the investigation of disease etiology has largely focused on an endpoint, while the course of chronic disease is understudied, representing a knowledge gap. Multi-state models can be used to describe the course of chronic
Ming Ding, Haiyi Chen, Feng-Chang Lin
doaj   +1 more source

Correction to: A Multi-stage Representation of Cell Proliferation as a Markov Process. [PDF]

Bull Math Biol, 2019
Yates CA, Ford MJ, Mort RL.
europepmc   +1 more source

Noncommutative Markov Processes [PDF]

Transactions of the American Mathematical Society, 1966
openaire   +1 more source

Experimentation and Learning in Business Model Innovation for Sustainability in Incumbent Firms: An Integrative Review

Business Strategy and the Environment, EarlyView.
ABSTRACT The pressure on corporations to contribute to sustainable development is increasing. It is widely recognised that the sustainable development goals and deadlines cannot be achieved without the support of incumbent firms. Business model innovation (BMI) is identified as a means for businesses to contribute to sustainable development.
Mercy Masaeli, Vasiliki Bamiatzi, Marianna Marra, Stephan Manning   +3 more
wiley   +1 more source

Convergence of stochastic process with Markov switching

, 2012
O. I. Kiykovska, Ya. M. Chabanyuk
openalex   +1 more source

Energy-efficient Resource Allocation in Multi-Tenant Edge Computing using Markov Decision Processes

, 2022
Alessandro Spallina, Andrea Araldo, Tijani Chahed, Hind Castel-Taleb, Antonella Di Stefano, Tülin Atmaca   +5 more
openalex   +2 more sources

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source

A Multi-stage Representation of Cell Proliferation as a Markov Process. [PDF]

Bull Math Biol, 2017
Yates CA, Ford MJ, Mort RL.
europepmc   +1 more source

Application of influence diagrams to multi‐objective allocation of firefighting resources in process plants

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Identification of firefighting strategies (i.e., which endangered units to suppress or cool first) in chemical and process plants falls under the domain of multi‐objective decision‐making (MODM), where not only the safety and integrity of the affected process plant but also the safety of on‐site and off‐site vulnerable targets matter.
Sina Khakzad, Nima Khakzad
wiley   +1 more source

Dynamic chromatin accessibility modeled by Markov process of randomly-moving molecules in the 3D genome. [PDF]

Nucleic Acids Res, 2017
Wang Y, Fan C, Zheng Y, Li C.
europepmc   +1 more source