Talks and Posters

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Title: Getting information from your data. Non-parametric and parametric analysis. Description: You have your data. What's next? It is time to do some "information harvesting". In this tutorial we will overview some of the methods that are used to do exactly ths. We will look at both empirically and theory motivated data processing. DFT, Lomb-Scargle periodogramms, frequentist and Bayesian statistics, Gaussian processes are covered. The docker and instructions are at: [[https://github.com/natazipper/PSR_tutorial_2020]]