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A model-driven approach for systematic reproducibility and replicability of data science projects

• Authors : Melchor González, Francisco Javier; Rodríguez Echeverría, Roberto; Conejero Manzano, José María

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Achieving Lean Data Science Agility Via Data Driven Scrum

• Authors : Saltz, Jeffrey; Sutherland, Alex; Hotz, Nicholas

Subjects: Agile and Lean: Organizations; Products and Development; agile

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Stationary count time series models.

• Authors : Weiß, Christian H.¹ (AUTHOR)

• Source: WIREs: Computational Statistics. Jan/Feb2021, Vol. 13 Issue 1, p1-16. 16p.

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Types of stochastic matrices

• Authors : Paul A. Gagniuc

Subjects: Dynamical systems in applications; Applied statistics; Probability theory

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From the Markov diagram to the Markov matrix

• Authors : Paul A. Gagniuc

Subjects: Dynamical systems in applications; Applied statistics; Computational statistics

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The two jars seen independently when disconnected from the Markov diagram

• Authors : Paul A. Gagniuc

Subjects: Biological mathematics; Dynamical systems in applications; Experimental mathematics

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The long-run distribution of a two state Markov chain

• Authors : Paul A. Gagniuc

Subjects: Applied statistics; Computational statistics; Probability theory

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An overall view for building a transition matrix from known events

• Authors : Paul A. Gagniuc

Subjects: Applied statistics; Computational statistics; Probability theory

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The graphical representation of a Markov chain

• Authors : Paul A. Gagniuc

Subjects: Adverse weather events; Atmospheric aerosols; Atmospheric dynamics

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Building a right stochastic matrix

• Authors : Paul A. Gagniuc

Subjects: Experimental mathematics; Numerical analysis; Applied statistics

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