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dynamical systems

Inducing time-asymmetry on reversible classical statistical mechanics via Interventional Thermodynamic Ensembles (ITEs).

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Preamble Probably, one of the most fundamental issue in classical statistical mechanics is extending reversible dynamics to many-particle systems that behaves irreversibly. In other words, how time's arrow appears even though constituted systems evolves in reversible dynamics. This is the main...

thermodynamics causality statistical physics dynamical systems statistical ensemble causal inference

Misconceptions on non-temporal learning: When do machine learning models qualify as prediction systems?

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Preamble    Babylonian Tablet for square root of 2. (Wikipedia)Prediction implies a mechanics, as in knowing a form of a trajectory over time.  Strictly speaking a predictive system implies knowing a solution to the path, set of variable depending on time, time evolution of the system under...

machine learning causality applied mathematics deep learning supervised learning dynamical systems reinforcement learning interpretable machine learning representation learning

Computational Epidemiology and Data Scientists: Don't post analysis on outbreak arbitrarily

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Summary Many data scientist are trained or experienced in using tools to do statistical modelling, forecasting or machine learning solutions, this doesn't necessarily mean that they should just jump out and do an ad-hoc analysis on the available public data on the covid19 outbreak and draw policy...

ethics data science pandemic data analysis disease dynamics s-shaped data. outbreak epidemiology dynamical systems statistics policy