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RSS International Conference 2021

RSS International Conference 2021 The full programme has been published for this year’s Royal Statistical Society International Conference which takes place in Manchest...

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Statistics is the New Machine Learning

Machine Learning (ML) is a rapidly developing field. There is enormous competition to be the inventor of a new method that gets widely adopted, and investors stand to m...

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41st International Symposium on Forecasting

We are excited to announce our sponsorship with the 41st International Symposium on Forecasting. Registrations are now open. The International Symposium on Forecasting ...

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Open Data And Policy Evidence Are Here To Stay

Over the first year of Covid-19 in the UK, the demand for data analysis boomed as never before. It seems that more was shared by government departments, agencies and othe...

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DISSERTATION SOS: Refresh the Basics of Data Science Software and Make Your Research Shine

Top tips from an academic and expert in the field, Dr. Malvina Marchese. Which is the secret to a great dissertation? Writing an excellent dissertation requires a mixture...

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The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model

Written October 2020  Abstract  We investigate the impact of Covid-19 on stock markets across G7 countries and their business sectors. We highlight the synchronicity an...

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Exploring Python within Stata - Part 1 with Dr George Naufal

Written by Dr. George Naufal (Texas A&M University). Stata 16 has brought the ability to use Python and its all capabilities right in Stata. Now you can code in your ...

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Can Economists Forecast the Future?

Written by Jennifer L. Castle and David F. Hendry. We all forecast many things every day, probably unconsciously, but forecast errors can be very expensive. For example,...

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23rd Dynamic Econometrics Conference: Online

We are delighted to announce that the 23rd Dynamic Econometrics Conference will run online in 2021 - Join us wherever you are in the world.   The Dynamic Econometri...

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Using Indicator Saturation to Detect Outliers and Structural Shifts

Using Indicator Saturation to Detect Outliers and Structural Shifts One of the potential pitfalls when working with time series datasets is that the dat...

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