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Found 5 papers, 0 papers with code
Generating Individual Trajectories Using GPT-2 Trained from Scratch on Encoded Spatiotemporal Data
We encapsulate an individual daily trajectory as a sequence of tokens by adding unique time interval tokens to the location tokens.
Composite distributions in the social sciences: A comparative empirical study of firms' sales distribution for France, Germany, Italy, Japan, South Korea, and Spain
We study 17 different statistical distributions for sizes obtained {}from the classical and recent literature to describe a relevant variable in the social sciences and Economics, namely the firms' sales distribution in six countries over an ample period.
Nondiagonal Mixture of Dirichlet Network Distributions for Analyzing a Stock Ownership Network
Block modeling is widely used in studies on complex networks.
Prediction of ESG Compliance using a Heterogeneous Information Network
Negative screening is one method to avoid interactions with inappropriate entities.
High quality topic extraction from business news explains abnormal financial market volatility
We show that the whole landscape of news that affect stock price movements can be automatically summarized via simple regularized regressions between trading activity and news information pieces decomposed, with the help of simple topic modeling techniques, into their "thematic" features.
