A research-grade equity trading bot that uses a Hidden Markov Model to identify market regimes in real time and adjusts position sizing continuously using the Moreira-Muir (2017) volatility-targeting ...
To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating Markov ...
The α7 nicotinic acetylcholine receptor plays a central role in higher brain functions and is implicated in many neurological disorders. Yet, the therapeutic potential of nicotinic agonists targeting ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Markov state models (MSM) are a popular statistical method for analyzing the ...
Sequentia is a Python package that provides various classification and regression algorithms for sequential data, including methods based on hidden Markov models and dynamic time warping. Some ...
Molecular dynamics (MD) simulations have been actively used in the study of protein structure and function. However, extensive sampling in the protein conformational space requires large computational ...
Department of Chemistry, State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Kowloon, Hong Kong Department of Chemical and Biological Engineering, The ...
The rapid development of wind energy has brought a lot of uncertainty to the power system. The accurate ultra-short-term wind power prediction is the key issue to ensure the stable and economical ...
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