Slides are available from https://github.com/feng-li/talks.
Time (时间) | Venue (地点) | Topic (主题) |
---|---|---|
2021-11-14 | Forecasting Impact Podcast | Computing, forecasting and learning with massive machines |
2021-11-20 | 第14届中国R会议软件工具专场 | Developing Distributed Models with Spark |
2021-10-24 | 首都师范大学 | 海量数据驱动场景及其数据科学方法 |
2021-09-13 | Data Skeptic Podcast | Distributed ARIMA Models for Ultra-long Time Series |
2021-09-06 | 狗熊会 | 复杂数据的高可延展分布式建模与计算机实现 |
2021-07-02 | The 2021 World Meeting of the International Society for Bayesian Analysis | Distributed Forecasting with Large Bayesian Vector Autoregressions |
2021-06-28 | The 41st International Symposium on Forecasting | Highly scalable distributed modelling and forecasting with dependent data |
2020-10-26 | The 40th International Symposium on Forecasting | Feature-based Bayesian Forecast Model Averaging |
2019-07-08 | The 12th International Conference on Monte Carlo Methods and Applications, Sydney, Australia | Bayesian high-dimensional covariate-dependent copula modeling with application to stocks and text sentiments |
2019-06-17 | The 39th International Symposium on Forecasting, Thessaloniki, Greece | Time series forecasting based on automatic feature extraction |
2016-11-21 | 统计之都 | COS 访谈第 22 期: 李丰老师 |
2014-10-25 | Stockholm University | Interview with Feng Li, PhD |
2014-06 | Qvintensen Article | Complex Model for Complex Data via the Bayesian Approach |
2014-03-22 | The Swedish Cramér Society 2014 Annual Meeting | Bayesian Modeling of Conditional Densities |