How did Donald Trump Surprisingly Win the 2016 United States Presidential Election? an Information-Theoretic Perspective (Clean Sensing for Big Data Analytics: Optimal Strategies, Estimation Error Bounds Tighter than the Cramér-Rao Bound).
Weiyu XuLifeng LaiM. Amin KhajehnejadPublished in: CoRR (2018)
Keyphrases
- information theoretic
- united states
- rao bound
- estimation error
- optimal strategy
- big data analytics
- upper bound
- presidential election
- lower bound
- social media
- mutual information
- big data
- decision problems
- monte carlo
- error rate
- standard deviation
- covariance matrix
- united kingdom
- worst case
- e government
- step size
- model selection
- mathematical models
- special case
- feature selection