Sudeepa Roy Dey
The North American journal of economics and finance · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Sudeepa Roy Dey trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Laffer (in Economics & Operations Research)
Papers from Sudeepa Roy Dey's perspective
Ordered by how strongly the researchers Sudeepa Roy Dey trusts endorse each paper. Same corpus, a different order for every researcher.
- Greedy function approximation: A gradient boosting machine.
- XGBoost: A Scalable Tree Boosting System
- Efficient market hypothesis and forecasting
- Intelligent stock trading system by turning point confirming and probabilistic reasoning
- Stock market's price movement prediction with LSTM neural networks
- Efficient Capital Markets: A Review of Theory and Empirical Work
- Matplotlib: A 2D Graphics Environment
- Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules
- Technical Analysis: Power Tools for Active Investors
- Random Forests
Their papers
- Predicting the direction of stock market prices using tree-based classifiers (2019) — 321 citations