Monthly Archives: October 2019

Visualize urban growth

October 31, 2019
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Visualize urban growth

The General Directorate for the Cadastre of Spain has spatial information of the all buildings except for the Basque Country and Navarra. This data set is part of the implementation of INSPIRE, the Space Information Infrastructure in Europe. More information can be found here. We will use the links (urls) in ATOM format, which is an RSS type for...

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New package: simfinR

October 31, 2019
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New package: simfinR

Introduction In my latest post I wrote about package GetEdgarData, which downloaded structured data from the SEC. I’ve been working on this project and soon realized that the available data at the SEC/DERA section is not complete. For example, all Q4 statements are missing. This seems to be the way all exchanges release the financial documents. I’ve found the same...

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Gold-Mining Week 9 (2019)

October 30, 2019
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Week 9 Gold Mining and Fantasy Football Projection Roundup now available. The post Gold-Mining Week 9 (2019) appeared first on Fantasy Football Analytics.

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Offensive Programming in action (part III)

October 30, 2019
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Offensive Programming in action (part III)

This is the third post on offensive programming, dedicated to using offensive programming (OP). You may refer to easy introduction to offensive programming to acquire some basic knowledge about offensive programming, and to discover offensive progra...

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A brief primer on Variational Inference

October 30, 2019
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A brief primer on Variational Inference

Bayesian inference using Markov chain Monte Carlo methods can be notoriously slow. In this blog post, we reframe Bayesian inference as an optimization problem using variational inference, markedly speeding up computation. We derive the variational objective function, implement coordinate ascent mean-field variational inference for a simple linear regression example in R, and compare our results to results obtained via...

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81st TokyoR Meetup Roundup: A Special Session in {Shiny}!

October 29, 2019
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81st TokyoR Meetup Roundup: A Special Session in {Shiny}!

As another sweltering summer ends, another TokyoR Meetup! With global warming in full swing and it still being around 30 degrees at the end of September, this month’s meetup was held at DIP Corporation, an personnel/recruitment ...

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The Mysterious Case of the Ghost Interaction

The Mysterious Case of the Ghost Interaction

This spooky post was written in collaboration with Yoav Kessler (@yoav_kessler) and Naama Yavor (@namivor).. Experimental psychology is moving away from repeated-measures-ANOVAs, and towards linear mixed models (LMM1). LMMs have many advantages over rmANOVA, including (but not limited to): Analysis of single trial data (as opposed to aggregated means per condition). Specifying more than one random factor (typically crossed random intercepts of...

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Non-randomly missing data is hard, or why weights won’t solve your survey problems and you need to think generatively

October 29, 2019
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Non-randomly missing data is hard, or why weights won’t solve your survey problems and you need to think generatively

Throw this onto the big pile of stats problems that are a lot more subtle than they seem at first glance. This all started when Lauren pointed me at the post Another way to see why mixed models in survey data are hard on Thomas Lumley’s blog. Part of the problem is all the jargon

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Enlarging the eBook supply

October 29, 2019
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There has been a campaign by members of the Canadian library community to ask international publishers to reduce prices to libraries for eBooks.  If my experience in the scientific publishing arena is any guide, the publishers will continue to charge the maximum they can get until the marketplace — that is us — forces them…

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What’s new in DALEX v 0.4.9?

October 29, 2019
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What’s new in DALEX v 0.4.9?

Few days ago a new version of DALEX was accepted by CRAN (v 0.4.9). Here you will find short overview what was added/changed. DALEX is an R package with methods for visual explanation and exploration of predictive models.Here you will find short overview with examples based on Titanic data. For real world use cases:Here you … Czytaj dalej What’s...

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