Peyman Bahrami

2016–2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Peyman Bahrami trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yongli Zhang

Who trusts Peyman Bahrami overall

1. Houtao Deng

Papers from Peyman Bahrami's perspective

Ordered by how strongly the researchers Peyman Bahrami trusts endorse each paper. Same corpus, a different order for every researcher.

1. Cross-validation for selecting a model selection procedure
2. Statistical Models: Theory and Practice: References
3. Adaptive Model Selection
4. Bagging Predictors
5. Variable Selection in Predictive Regressions
6. ACCUMULATED PREDICTION ERRORS, INFORMATION CRITERIA AND OPTIMAL FORECASTING FOR AUTOREGRESSIVE TIME SERIES
7. Calibration and empirical Bayes variable selection
8. Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
9. Adaptive Regression by Mixing
10. APPROXIMATION OF DENSITY FUNCTIONS BY SEQUENCES OF EXPONENTIAL FAMILIES

Their papers

• A comprehensive data mining approach to estimate the rate of penetration: Application of neural network, rule based models and feature ranking (2017) — 67 citations
• Fatty Acid Methyl Ester (FAME) composition used for estimation of biodiesel cetane number employing random forest and artificial neural networks: A new approach (2016)