Deep Extreme Mixture Model for Time Series Forecasting

Author:

S Abilasha1,Bhadra Sahely1,Dadarkar Ahmed Zaheer1,P Deepak2

Affiliation:

1. Indian Institute of Technology, Palakkad, Palakkad, India

2. Queen's University Belfast, Belfast, United Kingdom

Funder

Science and Engineering Research Board

Publisher

ACM

Reference46 articles.

1. Zulifqar Ali et al. 2017 . Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model. Advances in Meteorology , Vol. 2017 (02 May 2017 ), 5681308. https://doi.org/10.1155/2017/5681308 10.1155/2017 Zulifqar Ali et al. 2017. Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model. Advances in Meteorology, Vol. 2017 (02 May 2017), 5681308. https://doi.org/10.1155/2017/5681308

2. Adebiyi A. Ariyo , Adewumi O. Adewumi , and Charles K. Ayo . 2014 . Stock Price Prediction Using the ARIMA Model. In 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation. 106--112 . https://doi.org/10.1109/UKSim. 2014 .67 10.1109/UKSim.2014.67 Adebiyi A. Ariyo, Adewumi O. Adewumi, and Charles K. Ayo. 2014. Stock Price Prediction Using the ARIMA Model. In 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation. 106--112. https://doi.org/10.1109/UKSim.2014.67

3. Percy artist Moran and Peter Whittle. 1951. Hypothesis Testing in Time Series Analysis. Percy artist Moran and Peter Whittle. 1951. Hypothesis Testing in Time Series Analysis.

4. Realized Peaks over Threshold: A Time-Varying Extreme Value Approach with High-Frequency-Based Measures*

5. Some Recent Advances in Forecasting and Control

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