Publications from our Researchers

Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.  

Citation

BibTex format

@inproceedings{Nadler:2019:10.1109/SITIS.2019.00106,
author = {Nadler, P and Arcucci, R and Guo, YK},
doi = {10.1109/SITIS.2019.00106},
pages = {649--656},
title = {Data assimilation for parameter estimation in economic modelling},
url = {http://dx.doi.org/10.1109/SITIS.2019.00106},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - We propose a data assimilation approach for latent parameter estimation in economic models. We describe a dynamic model of an economic system with latent state variables describing the relationship of economic entities over time as well as a stochastic volatility component. We show and discuss the model's relationship with data assimilation and how it is derived. We apply it to conduct a multivariate analysis of the cryptocurrency ecosystem. Combining these approaches opens a new dimension of analysis to economic modelling. Economics, Multivariate Analysis, Dynamical System, Bitcoin, Data Assimilation.
AU - Nadler,P
AU - Arcucci,R
AU - Guo,YK
DO - 10.1109/SITIS.2019.00106
EP - 656
PY - 2019///
SP - 649
TI - Data assimilation for parameter estimation in economic modelling
UR - http://dx.doi.org/10.1109/SITIS.2019.00106
ER -

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