%0 Journal Article %1 journals/systems/NiJZ23 %A Ni, Zhengfang %A Jiang, Minghui %A Zhan, Wentao %D 2023 %J Syst. %K dblp %N 1 %P 18 %T Predicting Multi-Period Corporate Default Based on Bayesian Estimation of Forward Intensity - Evidence from China. %U http://dblp.uni-trier.de/db/journals/systems/systems11.html#NiJZ23 %V 11

@article{journals/systems/NiJZ23, added-at = {2023-01-31T00:00:00.000+0100}, author = {Ni, Zhengfang and Jiang, Minghui and Zhan, Wentao}, biburl = {https://www.bibsonomy.org/bibtex/2fe4a65e1bc10fb1829289d728e007874/dblp}, ee = {https://doi.org/10.3390/systems11010018}, interhash = {9d6abecbb62ac5816ac633ece12232d8}, intrahash = {fe4a65e1bc10fb1829289d728e007874}, journal = {Syst.}, keywords = {dblp}, number = 1, pages = 18, timestamp = {2024-04-08T15:09:18.000+0200}, title = {Predicting Multi-Period Corporate Default Based on Bayesian Estimation of Forward Intensity - Evidence from China.}, url = {http://dblp.uni-trier.de/db/journals/systems/systems11.html#NiJZ23}, volume = 11, year = 2023 }