Integrated time series summarization and prediction algorithm and its application to COVID-19 data mining

MG Plessen - 2020 IEEE International Conference on Big Data …, 2020 - ieeexplore.ieee.org
This paper proposes a simple method to extract from a set of multiple related time series a
compressed representation for each time series based on statistics for the entire set of all …

Application of Algorithmic Trading Strategies for Retail Investors

G Harke, M Shishlenin, S Koppisetti - Available at SSRN 3904097, 2020 - papers.ssrn.com
Retail investors are an essential part of the financial markets and they provide stability to the
markets by providing liquidity and helping in price discovery. For markets to function …

A posteriori trading-inspired model-free time series segmentation

MG Plessen - arXiv preprint arXiv:1912.06708, 2019 - arxiv.org
Within the context of multivariate time series segmentation this paper proposes a method
inspired by a posteriori optimal trading. After a normalization step time series are treated …

A posteriori Trading-inspired Model-free Time Series Segmentation

MG Plessen - 2023 IEEE International Conference on Big Data …, 2023 - ieeexplore.ieee.org
Within the context of multivariate time series segmentation this paper proposes a method
inspired by a posteriori optimal trading. After a normalization step time series are treated …

Hierarchical planning and stochastic optimization algorithms with applications to self-driving vehicles and finance

M Graf Plessen - 2018 - e-theses.imtlucca.it
This work discusses hierarchical planning and stochastic optimization algorithms with
applications to self-driving vehicles and quantitative finance. A diverse set of mathematical …