Documents have complexity from various perspectives, such as compression rate and the degree of fluctuation. The complexity…
We proposed a stock vector representation called “stock embedding,” obtained using a deep learning framework that utilizes…
The Strahler number was originally proposed to characterize the complexity of river bifurcation and has found various…
This paper shows a novel machine learning model for realized volatility (RV) prediction using a normalizing flow, an…
We apply an information-theoretic perspective to reconsider generative document retrieval (GDR), in which a document x∈X is indexed…
The correlation dimension of natural language is measured by applying the Grassberger-Procaccia algorithm to high-dimensional sequences produced…
We explore the complexity underlying human symbolic sequences via entropy rate estimation. Consider the number of possibilities…
The bitcoin price crash at the beginning of 2018 was caused by various social factors. The influence…
The theory of econophysics reveals the scaling properties of price, which explains why market crashes much more…
Real instances of social systems have a bursty character, meaning that events occur in a clustered manner….