Exclusive, advance excerpts from the always daring and distinctive Berger Books! Groundbreaking new releases from acclaimed and original creators: From Everything, a surreal tale of Americana and the most disturbing pursuit of happiness you've ever read (Christopher Cantwell and I.N.J. Culbard), to the feminist neo-noir murder mystery Ruby Falls (Ann Nocenti and Flavia Biondi), to the latest in David Aja and Ann Nocenti's hotly-anticipated alien-thriller-love story, The Seeds, to G. Willow Wilson and Christian Ward's galactic hit Invisible Kingdom...plus more!

Build a custom skateboard of any shape and size, from a high-performance street deck to the classic longboard, that will turn heads everywhere you go. When you make your own skateboard from scratch you have the opportunity to create something that is perfectly tailored to you: a deck that matches your height, your weight, your center of balance, your skill level and your intended use. More importantly, making your own skate deck allows you to design a perfect ride to fit your style and makes a statement about who you are. There's nothing wrong with choosing off-the-shelf and mass produced, but who doesn't prefer to stand out. Be different. Be one of a kind. That's what you get with a custom handmade skateboard. Whether you are an accomplished woodworker or an absolute beginner, The Handmade Skateboard guides you step-by-step through building five skateboard designs; from a simple Hack Board built in a few spare hours to a high-performance street deck pressed from seven layers of high-quality Maple veneers. A design guide covers everything you need to know about sizing and shaping your deck and choosing the right trucks and hardware. And helpful photos, illustrations and detailed written instructions throughout provide all the information and motivation you need to make your own skateboard from scratch.

A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.

Volumes for 1898-1968 include a directory of publishers.

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.