Banksy's Bristol: Home Sweet Home
Steve Wright - 2007
The images were taken when Banksy joined Bristol's radical football team The Easton Cowboys on a tour of Mexico to play football against the Zapatista freedom fighters. The new edition also contains sections on the Banksy vs Bristol Museum show, Exit Through The Gift Shop, The Tesco Value Petrol Bomb, an interview with John Nation and more. The book is a celebration of Banksy's street art in his home city of Bristol and places him in the context of 3D, John Nation from the Barton Hill Youth Club, Inkie, Nick Walker and the other artists and musicians who were instrumental in linking Bristol to the original New York hip-hop scene. It is the most revealing account of Banksy's formative years and contains more than one hundred images of his Bristol art, as well as pictures of Banksy at work, many of which have never been published before. Steve Wright, traces Banksy's roots back to the rave culture of the Nineties and draws a rounded picture of an artist who is most famous for being anonymous.
Statistical Rethinking: A Bayesian Course with Examples in R and Stan
Richard McElreath - 2015
Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.