Position: Why a Dynamical Systems Perspective is Needed to Advance Time Series Modeling | ScienceToStartup | ScienceToStartup

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References (100)

[1]

Long COVID trajectories in the prospectively followed RECOVER-Adult US cohort

2025Tanayott Thaweethai, Sarah E. Donohue et al.

[2]

When is a System Discoverable from Data? Discovery Requires Chaos

2025Zakhar Shumaylov, Peter Zaika et al.

[3]

Data-driven performance measures using global properties of attractors for testing black-box surrogate models of chaotic systems.

Founder's Pitch

"Leverage dynamical systems theory to enhance time series modeling with better forecasting and reduced computational demands."

Time Series Modeling•Score: 2•View PDF ↗

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Position: Why a Dynamical Systems Perspective is Needed to Advance Time Series Modeling

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References (100)

Founder's Pitch

"Leverage dynamical systems theory to enhance time series modeling with better forecasting and reduced computational demands."

Commercial Viability Breakdown

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Why It Matters

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Position: Why a Dynamical Systems Perspective is Needed to Advance Time Series Modeling

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References (100)

Founder's Pitch

"Leverage dynamical systems theory to enhance time series modeling with better forecasting and reduced computational demands."

Commercial Viability Breakdown

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