2023-06-13
Publication
Nonlinear Dynamics
15263-15278 (2023
A manuscript was accepted and published in Nonlinear Dynamics, a top journal in Engineering Systems (Q1, Impact factor: 5.741)
Quality Indicators
Peer Reviewed
Q1 Journal as rated in SJR
Relevance to the Centre
Dynamic pricing depends on the understanding of uncertain demand. We ask the question
whether a stochastic system is sufficient to model this uncertainty. Lu proposes a novel paradigm based on statistical analysis of recurrence quantification measures.
The paradigm fits nonlinear dynamics by simultaneously optimizing both the determinism and the trapping time in recurrence plots and identifies an optimal time delay embedding
Findings highlight the importance of fitting and recreating non-linear dynamics of data in modelling practical problems.
