[Finanz.Inform] Data-Science Talk Andrew Gelman

[Markus Fulmek]

Sehr geehrte Damen und Herren,

Ich leite Ihnen unten eine Einladung zu einem Vortrag der
Forschungsplattform “Data Science” weiter, der vielleicht
von Interesse für Sie ist.

Mit den besten Grüßen,

Markus Fulmek

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> The research platform "Data Science @ Uni Vienna" continues its lecture series, to which we would like to cordially invite you. Andrew Gelman will give a talk titled “Bayesian Workflow”, he is one of the most distinguished scientists regarding bayesian statistics and is working and teaching at Columbia University, New York. 
> 
> When: 9. November 2018, 16.30h
> Where: Small Ceremonial Chamber, Universitätsring 1, 1010 Wien 
> Speaker: Andrew Gelman, Columbia University 
> Title: Bayesian Workflow
> 
> 
> Abstract:
> Methods in statistics and data science are often framed as solutions to particular problems, in which a particular model or method is applied to a dataset.  But good practice typically requires multiplicity, in two dimensions:  fitting many different models to better understand a single dataset, and applying a method to a series of different but related problems.  To understand and make appropriate inferences from real-world     data analysis, we should account for the set of models we might fit, and for the set of problems to which we would apply a method.  This is known as the reference set in frequentist statistics or the prior distribution in Bayesian statistics.  We shall discuss recent research of ours that addresses these issues, involving the following statistical ideas:  Type M errors, the multiverse, weakly informative priors, Bayesian stacking and cross-validation, simulation-based model checking, divide-and-conquer algorithms, and validation of approximate computations.
> 
> We are look forward to seeing you! Registration for the event is not mandatory, but 
> it will help us with the organization. Please sign up here: datascience.univie.ac.at/lecture-series/registration 
> 
> 
> About the lecture series:
> The lecture series introduces international scientists with talks about their views on the possibilities and challenges of data science in their respective fields. We aim to reach a broad audience from various scientific backgrounds as well as the industry – from students to lecturers right up to entrepreneurs and interested parties and individuals. The next lecturers will be Elaine Chew, professor for digital media from the Queen Mary University in London (January 17th 2019) and Gudrun Gersmann, professor for history from the University of Cologne (April 4th 2019).
>  
> About us :
> Data Science @ Uni Vienna is a new research platform at the University of Vienna that presents a hub on all activities in data science at the University of Vienna. Our primary focus is to bring researchers from different areas together to work on and solve several of the challenges that this new field presents. We specifically focus on problems arising in one of the following five domains, Astronomy, Digital Humanities, Finance, Industry 4.0, Medical Sciences.  While these areas are broad, they have in common that they are       data-driven and use similar methods from computer science, mathematics, and statistics.
> 
> Further information: datascience.univie.ac.at/lecture-series
>