Moustache target distribution and Wes Anderson

Today I am going to introduce the moustache target distribution (moustarget distribution for brievety). Load some packages first. Let’s invoke the moustarget distribution. This defines a target distribution represented by a SVG file using RShapeTarget. The target probability density function is defined on and is proportional to on the segments described in the SVG files,Continue reading “Moustache target distribution and Wes Anderson”

Random art on the web

Since we explored some statitics of an abstract painting with Pierre (we even have an article in Variances last issue!), I became more sensitive to art linked to randomness. Here are some pointers to related websites I have digged out., mentioned here by Pierre, is, at it reads, a true random number service thatContinue reading “Random art on the web”

Artist view of crimes in London

At first sight, one could think this picture is a scale model of some narrow moutains, like Bryce Canyon… Actually it represents crimes in East London, an cardboard artwork by the Londoner artist Abigail Reynolds, called Mount Fear.  Here is what can be read on the artist’s webpage: The terrain of Mount Fear is generatedContinue reading “Artist view of crimes in London”

Last and final on Richter’s painting

For a quick recap, Pierre and I supervised a team project at Ensae last year, on a statistical critique of the abstract painting 1024 Colours by painter Gerhard Richter. The four students, Clémence Bonniot, Anne Degrave, Guillaume Roussellet and Astrid Tricaud, did an outstanding job. Here is a selection of graphs and results they produced.Continue reading “Last and final on Richter’s painting”

When my Eyes were Stabbed by the Flash of a Neon Light

Second visit of a museum since the begining of the blog, second post on art for me. Random and bilingual neon light (Néon bilingue et aléatoire, 1971) by the french artist François Morellet, is exposed in Centre Pompidou in Paris. Random it says?… Basically it is a kind of alarm clock, with digital figures. ButContinue reading “When my Eyes were Stabbed by the Flash of a Neon Light”

Random Colours (part 3)

Thanks to Pierre, we now have a new playground for saptial stats, see this post. Before that, let’s see if we can see basic stuff without spatial information. Data consist in three 32*32 tables, R, G and B, of numbers between 0 and 255. Certainly, the tables should be considered together as a 32*32 tableContinue reading “Random Colours (part 3)”

Random Colours (part 2)

In this previous post, Julyan presented the paintings of Gerhard Richter, and asked whether the colours were really “randomly chosen”, as claimed by the painter. To answer the question from a statistical point of view (ie whether the colours are uniformly distributed in the (r,g,b) space or in the (x, y, r, g, b) spaceContinue reading “Random Colours (part 2)”

256 (random ?) colors

This painting by Gerhard Richter is called 256 colors. The painter is fully committed to this kind of work, as you can see here. When visiting the San Francisco Museum of Modern Art (SFMOMA) (I’m getting literate…), the guide asked the following question: Do you think the colors are positioned randomly or not? Not aContinue reading “256 (random ?) colors”