UTFaculteitenEEMCSDisciplines & departementenData Management & BiometricsNews & EventsCristian Verdecchia, succesfully defended his Master thesis. Temporal Aspects of Stock Price Prediction: Quantifying the Role of Historical Data using Partitioned Dynamic Bayesian Networks

Cristian Verdecchia, succesfully defended his Master thesis. Temporal Aspects of Stock Price Prediction: Quantifying the Role of Historical Data using Partitioned Dynamic Bayesian Networks Temporal Aspects of Stock Price Prediction: Quantifying the Role of Historical Data using Partitioned Dynamic Bayesian Networks

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Monday 7 October 2024

Verdecchia, Cristian (2024) Temporal Aspects of Stock Price Prediction : Quantifying the Role of Historical Data using Partitioned Dynamic Bayesian Networks. University of Twente, Enschede.

More information: Thesis

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