Fast and Interpretable Autoregressive Estimation with Neural Network Backpropagation | ScienceToStartup | ScienceToStartup

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References (17)

[1]

Time-Varying Autoregressive Models: A Novel Approach Using Physics-Informed Neural Networks

2025Zhixuan Jia, Chengcheng Zhang

[2]

Artificial neural network small‐sample‐bias‐corrections of the AR(1) parameter close to unit root

2024Haozhe Jiang, O. Okhrin et al.

[3]

A comparative analysis of machine learning and statistical methods for evaluating building performance: A systematic review and future benchmarking framework

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"A neural network approach to autoregressive time series estimation that is significantly faster and more reliable than traditional methods, with code available."

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Fast and Interpretable Autoregressive Estimation with Neural Network Backpropagation

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References (17)

Founder's Pitch

"A neural network approach to autoregressive time series estimation that is significantly faster and more reliable than traditional methods, with code available."

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Fast and Interpretable Autoregressive Estimation with Neural Network Backpropagation

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References (17)

Founder's Pitch

"A neural network approach to autoregressive time series estimation that is significantly faster and more reliable than traditional methods, with code available."

Commercial Viability Breakdown

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