时间序列专题学习
- 时间序列分析的核心是挖掘该时间序列的自相关性
- [[石川@写给你的金融时间序列分析]]
- [[随风@时间序列分析]] 知乎上写的很好教程:包括基础知识讲解(还是石川讲得更加详细)以及通过支付宝数据演示如何利用各种方法和模型。
- [[字节@漫谈时间序列预测]]
- [[Time Series Forecasting With Deep Learning: A Survey]] 牛津大学关于时间序列预测深度学习方法总结
- [[Deep learning for time series classification: a review]] 时间序列分类
比赛相关
- [[Web Traffic Time Series Forecasting]]
- 百度KDD Cup2022-Top方案总结 - 知乎 (zhihu.com)
- Kaggle 时间序列预测挑战的获胜解决方案 - 知乎 (zhihu.com)
- [[M5 Accuracy Competition]]
- gbdt不适用于什么样的时间序列问题 - 知乎 (zhihu.com) #[[gbdt 时间序列]]
- [[@The M5 Accuracy competition: Results, findings and conclusions]]
- [[@Forecasting with trees]]
- Forcasting with trees(待续) - 知乎 (zhihu.com)
- gbdt不适用于什么样的时间序列问题 - 知乎 (zhihu.com) #[[gbdt 时间序列]]
[[@Time-series Extreme Event Forecasting with Neural Networks at Uber]]
[[Time Series Transformer]]
- [[@From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba]]
- [[@Gated Transformer Networks for Multivariate Time Series Classification]]
- [[@Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting]]
- [[@Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting]]
- [[@FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting]]
- [[@Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting]]
- [[ConvTrans]] 【时间序列】Transformer for TimeSeries时序预测算法详解 - 知乎 (zhihu.com)
[[@A Transformer-based Framework for Multivariate Time Series Representation Learning]]
[[N-BEATS]]
[[DeepAR]] 用概率预测代替点估计,通过采用求平均方式得到最终预测
[[@Do We Really Need Deep Learning Models for Time Series Forecasting?]]
[[Recurrent Neural Networks for Multivariate Time Series with Missing Value]]
- 时间序列缺失值问题
- 时间序列的不等间隔问题
- rnn变体系列之——GRU-D - 知乎 (zhihu.com)
时间序列增强
- Time Series Data Augmentation for Deep Learning: A Survey