When looking at the endless scandals swirling around the heads of the two rival candidates Hillary Clinton and Donald Trump, it can seem like the two candidates are equally tainted. Many people throw up their hands pleading for some other option.How can we evaluate the alleged actions of these two candidates?Is there some kind of objective way to do so?And how does the decision to support a candidate affect the…
In my most recent post "Turkopticon: Defender of Amazon's Anonymous Workforce" I introduced Turkopticon, the social art project designed to provide basic tools for Amazon's massive Mechanical TURK workforce to share information about employers (request...
In OECD’s brand new publication ‘Government at a Glance 2015’ we can find a new indicator: The OUR Index. It stands for ‘Open, Useful, Reusable Government Data’. ‘The new OECD OURdata Index reveals that many countries have made progress in making public data more available and accessible, but large variations remain, not least with respect to the quality … Continue reading Open, Useful, Reusable
In OECD’s brand new publication ‘Government at a Glance 2015’ we can find a new indicator: The OUR Index. It stands for ‘Open, Useful, Reusable Government Data’. ‘The new OECD OURdata Index reveals that many countries have made progress in making public data more available and accessible, but large variations remain, not least with respect to the quality … Continue reading Open, Useful, Reusable
Xian blogged recently on the incoming RSS read paper: Statistical Modelling of Citation Exchange Between Statistics Journals, by Cristiano Varin, Manuela Cattelan and David Firth. Following the last JRSS B read paper by one of us! The data that are used in the paper (and can be downloaded here) are quite fascinating for us, academics fascinated by academic rankings, […]
Xian blogged recently on the incoming RSS read paper: Statistical Modelling of Citation Exchange Between Statistics Journals, by Cristiano Varin, Manuela Cattelan and David Firth. Following the last JRSS B read paper by one of us! The data that are used in the paper (and can be downloaded here) are quite fascinating for us, academics fascinated by academic rankings, […]
TL;DR: I've implemented a logistic ordinal regression or proportional odds model. Here is the Python code The logistic ordinal regression model, also known as the proportional odds was introduced in the early 80s by McCullagh [1, 2] and is a generali...
This tutorial introduces the concept of pairwise preference used in most ranking problems. I'll use scikit-learn and for learning and matplotlib for visualization. In the ranking setting, training data consists of lists of items with some order specifi...
