Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios

Olga Krasotkina, Vadim Mottl, Michael Markov, Elena Chernousova, Dmitry Malakhov. Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios. In Petra Perner, editor, Machine Learning and Data Mining in Pattern Recognition - 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings. Volume 10358 of Lecture Notes in Computer Science, pages 431-450, Springer, 2017. [doi]

@inproceedings{KrasotkinaMMCM17,
  title = {Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios},
  author = {Olga Krasotkina and Vadim Mottl and Michael Markov and Elena Chernousova and Dmitry Malakhov},
  year = {2017},
  doi = {10.1007/978-3-319-62416-7_31},
  url = {https://doi.org/10.1007/978-3-319-62416-7_31},
  researchr = {https://researchr.org/publication/KrasotkinaMMCM17},
  cites = {0},
  citedby = {0},
  pages = {431-450},
  booktitle = {Machine Learning and Data Mining in Pattern Recognition - 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings},
  editor = {Petra Perner},
  volume = {10358},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-62416-7},
}