Time series prediction and online learning

By Vitaly Kuznetsov, Mehryar Mohri. 2016

56 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yi Zhang
2. Karan Singh
3. Holden Lee
4. Cyril Zhang
5. Elad Hazan
6. Benjamin Lindemann
7. Benjamin Maschler
8. Michael Weyrich

Citations in the corpus

• Time Series Prediction : Predicting Stock Price (2017, background): “); and (3) model other types of data (e.”
• Spectral Filtering for General Linear Dynamical Systems (2018, methodology): “This technique is well-established in the context of autoregressive models for time-series prediction that have been extensively studied in the learning and signal-processing literature, see e.g. [Ham94, BJR94, BD09, KM16, AHMS13, MW07].”
• A Survey on Anomaly Detection for Technical Systems using LSTM Networks (2021, background): “Regarding time-variant dynamics, it can be distinguished between stationary and non-stationary [10] or short-term and long-term behavior [11].”