Slides are available from https://github.com/feng-li/talks.
| Time | Upcoming Events | Topic |
|---|---|---|
| July 31 – August 4, 2026 | The 86th Annual Meeting of the Academy of Management, Philadelphia, Pennsylvania, USA | TBA |
| July 23–25, 2026 | EAC-ISBA Conference 2026, Kunming, China | Program Committee Deep Isometric Manifold Embedding for Video Gestures |
| July 11-13, 2026 | The 4th Joint Conference on Statistics and Data Science in China, Guiyang, China | TBA |
| July 7-8, 2026 | The 3rd International Forum on Quantitative Tourism Research (IFQTR 2026) | Keynote Speaker Tourism Forecasting |
| History Events | ||
| January 5-9, 2026 | Workshop on Learning spatial and temporal dependence in the age of AI, Tsinghua Sanya International Mathematics Forum (TSIMF), China | Accent Matters: Communication Costs and Information Content in Analyst-Manager Dialogue |
| September 19-20, 2025 | The 2025 NBER-NSF Time Series Conference, Rutgers University, USA | Forecasting Reconciliation |
| July 11-13, 2025 | The 3rd Joint Conference on Statistics and Data Science in China, Hangzhou, China | Financial Forecasting with Voice Time Series Data From Earning Conference Calls |
| February 14, 2025 | Quarterly Forecasting Forum (International Institute of Forecasters) at University of Bath School of Management, Bath, UK | Financial Forecasting with Alternative Data |
| 2024-07-17 | The 7th International Conference on Econometrics and Statistics (EcoSta 2024), Beijing, China | Local Information Advantage and Stock Returns — Evidence from Social Media |
| 2024-06-30 | The 44th International Symposium on Forecasting, Dijon, France | Infinite forecast combinations based on Dirichlet process |
| 2023-12-01 | The 23rd IEEE International Conference on Data Mining, Shanghai, China | Infinite forecast combinations based on Dirichlet process |
| 2023-07-14 | The 9th International Forum on Statistics (RUC IFS 2023), Beijing, China | Forecast reconciliation with discrete data |
| 2023-06-30 | The 2023 ICSA China Conference, Chengdu, China | Distributed MCMC inference |
| 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, Sweden | 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 |
| 2013-10-03 | The Stockholm University Forskardagarna, Sweden | Complex model to complex data — the statistical approach |
| Sep 16, 2009 | Department of Statistics, Uppsala University, Sweden | Flexible modeling of conditional distributions using smooth mixtures of asymmetric student t densities |