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Quantifying Information | A blog about statistical reasoning

A blog about statistical reasoning

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Quantifying Information | A blog about statistical reasoning | grollchristian.wordpress.com Reviews
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A blog about statistical reasoning
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1 skip to footer
2 quantifying information
3 qi philosophy
4 julia
5 science
6 tools
7 financial econometrics
8 and gunther schauberger
9 correctly
10 posted in r
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Quantifying Information | A blog about statistical reasoning | grollchristian.wordpress.com Reviews

https://grollchristian.wordpress.com

A blog about statistical reasoning

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Germany most likely to win Euro 2016 | Quantifying Information

https://grollchristian.wordpress.com/2016/06/13/germany-most-likely-to-win-euro-2016

Skip to main content. Skip to primary sidebar. Skip to secondary sidebar. A blog about statistical reasoning. Larr; Downloading SP500 stock price data with Julia. Germany most likely to win Euro 2016. Posted by Chris G. 8221;, the second question is: “who is going to make the best forecast? From Ludwig-Maximilians-University, together with Thomas Kneib. Based on publicly available data and the gamlls R-package. They built a model to forecast probabilities of win, tie and loss for any game of Euro 2016 (A...

2

Downloading SP500 stock price data with R | Quantifying Information

https://grollchristian.wordpress.com/2013/08/07/sp500-stock-price-data

Skip to main content. Skip to primary sidebar. Skip to secondary sidebar. A blog about statistical reasoning. Larr; Google jumping on the R-bandwagon? Programming style guidelines: R and MATLAB →. Downloading SP500 stock price data with R. Posted by Chris G. In this blog post I want to show how to download data of all constituents of the S&P500. Index, which is one of the leading stock market indices for US equity, from Yahoo! According to Standard and Poor’s. And clean return series. Due to the Yahoo!

3

IJulia on Amazon EC2 instance | Quantifying Information

https://grollchristian.wordpress.com/2014/09/01/ijulia-for-amazon-ec2

Skip to main content. Skip to primary sidebar. Skip to secondary sidebar. A blog about statistical reasoning. Larr; Coping with missing stock price data. Downloading SP500 stock price data with Julia →. IJulia on Amazon EC2 instance. Posted by Chris G. 2 Setting up an Amazon AWS account. 3 Setting up an instance. 4 Installing and configuring IJulia. 5 Starting and connecting to IJulia server. 6 Store as AMI. At this point, you might think: “okay – but what for? Mount an EBS volume with your private data.

4

Prediction model for the FIFA World Cup 2014 | Quantifying Information

https://grollchristian.wordpress.com/2014/06/12/world-cup-2014-prediction

Skip to main content. Skip to primary sidebar. Skip to secondary sidebar. A blog about statistical reasoning. Larr; spotted elsewhere: SlideRule. Julia syntax features →. Prediction model for the FIFA World Cup 2014. Posted by Chris G. Like a last minute goal, so to speak, Andreas Groll. Of Ludwig-Maximilians-University Munich announced their predictions for the FIFA World Cup 2014 in Brazil – just hours before the opening game. Http:/ www.statistik.lmu.de/ schauberger/research.html. As they pointed out,...

5

Downloading SP500 stock price data with Julia | Quantifying Information

https://grollchristian.wordpress.com/2014/09/05/sp500-data-download-julia

Skip to main content. Skip to primary sidebar. Skip to secondary sidebar. A blog about statistical reasoning. Larr; IJulia on Amazon EC2 instance. Germany most likely to win Euro 2016 →. Downloading SP500 stock price data with Julia. Posted by Chris G. In order to provide a more convenient and stable way of getting data, I meanwhile started the Julia package EconDatasets.jl. Download data into package subdirectory data getDataset("SP500"). Load data into session workspace data = dataset("SP500"). Before ...

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Quantifying Information | A blog about statistical reasoning

Skip to main content. Skip to primary sidebar. Skip to secondary sidebar. A blog about statistical reasoning. Germany most likely to win Euro 2016. Posted by Chris G. 8221;, the second question is: “who is going to make the best forecast? Besides the big players of the industry, whose predictions traditionally get the most of the media attention, there also is a less known academic research group that already had remarkable success in forecasting in the past. Andreas Groll. This is what their model deems...

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