Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair's breadth, and became a national sensation as a blogger. Drawing on his own groundbreaking work, Silver examines the world of prediction.
Jan Sprenger and Stephan Hartmann offer a fresh approach to central topics in philosophy of science, including causation, explanation, evidence and scientific models.
However, they are not appropriate for all applications. Over the past six years or so, teams of researchers led by Jim Smith have established a strong theoretical underpinning for CEGs. This book
This book brings the power of modern Bayesian thinking, modeling, and computing to a broad audience.
Bayesian Data Analysis, Third Edition
In doing so, they integrate Bayesian inference - the leading theory of rationality in social science - with the practice of 21st century science.Bayesian Philosophy of Science thereby shows how modeling such attitudes improves our ...
Provides a thorough and rigorous introduction to Bayesian analysis and expert judgment, before moving to more technical content focusing on including stress testing and risk aggregation.
Bayesian Adaptive Methods for Phase I Clinical Trials
Introduction to Probability and Mathematical Statistics . ... Tables of the Ordinates and Probability Integral of the Distribution of the Correlation Coefficient in Small Samples . ... Guide to Tables in Mathematical Statistics .
Unleash the power and flexibility of the Bayesian framework About This Book Simplify the Bayes process for solving complex statistical problems using Python; Tutorial guide that will take the you through the journey of Bayesian analysis ...
The Signal and the Noise …in 30 Minutes is the essential guide to quickly understanding the fundamental components of prediction outlined in Nate Silver’s bestselling book, The Signal and the Noise: Why So Many Predictions Fail ¬– ...