Name: Why I Chose Julia, or, an Exercise in the Statistical Bootstrap
Start: 2018-01-18T18:30:00+11:00
End: 2018-01-18T21:00:00+11:00
Location: Microsoft Store

**Agenda**

5.45pm - 6.30pm --- Mingle and set-up
6.30pm - 7.00pm --- Talk: Why I Chose Julia, or, an Exercise in the Statistical Bootstrap
7.00pm - 7.30pm --- Talk: Fast Group By and String sorting in Julia

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Title: Why I Chose Julia, or, an Exercise in the Statistical Bootstrap

Abstract: In this presentation, I discuss the reasons that in 2014, I chose to convert my entire workflow to Julia. The reasons are explained using my registered Julia package, DependentBootstrap, as a contextual example.

Author: Colin T. Bowers

Bio: I am a time-series econometrician, specialising in financial econometrics. I completed a doctorate at Macquarie University in 2015, titled "Estimation and Forecast Evaluation of Risk Measures with High Frequency Financial Data". I currently maintain a small workload at Macquarie University, and spend most of my time working on forecasting a range of financial random variables.

Julia (Julialang) Sydney

Technology

Open Source

New Technology

Statistical Computing

Machine Learning

Data Analytics

Data Science

Scientific Computing

Julia Programming Language