| Forecasting stock returns with model uncertainty and parameter instability H Zhang, Q He, B Jacobsen, F Jiang Journal of Applied Econometrics 35 (5), 629-644, 2020 | 25 | 2020 |
| Learning Bayesian networks from incomplete data based on EMI method F Tian, H Zhang, Y Lu Third IEEE International Conference on Data Mining, 323-330, 2003 | 17 | 2003 |
| Incremental learning of Bayesian networks with hidden variables F Tian, H Zhang, Y Lu, C Shi Proceedings 2001 IEEE International Conference on Data Mining, 651-652, 2001 | 16 | 2001 |
| Research on modeling with dynamic bayesian networks F Tian, H Zhang, Y Lu Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003 …, 2003 | 9 | 2003 |
| Learning Bayesian network classifiers from data with missing values H Zhang, Y Lu 2002 IEEE Region 10 Conference on Computers, Communications, Control and …, 2002 | 9 | 2002 |
| Inference and modeling of multiply sectioned bayesian networks T Fengzhan, W Hongwei, L Yuchang, S Chimyi 2002 IEEE Region 10 Conference on Computers, Communications, Control and …, 2002 | 6 | 2002 |
| General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks Z Hongwei, T Fengzhan, L Yuchang International Symposium on Intelligent Data Analysis, 330-339, 2001 | 6 | 2001 |
| Ensemble machine learning and stock return predictability B Jacobsen, F Jiang, H Zhang The 4th international workshop on financial markets and nonlinear dynamics …, 2019 | 5 | 2019 |
| Equity premium prediction with bagged machine learning B Jacobsen, F Jiang, H Zhang AFA, 2020 | 2 | 2020 |
| Boosting portfolio choice in the big data era H Zhang, B Jacobsen, F Jiang AFA 2021 Annual Meeting, Forthcoming, 2019 | 2 | 2019 |
| Empirical asset pricing and ensemble machine learning H Zhang | 1 | 2021 |
| Ensemble Learning and Stock Return Predictability B Jacobsen, F Jiang, H Zhang | | |
Ben JacobsenProfessor of Finance, TIAS Business SchoolVerified email at tias.edu
