The nature of scientific explanation has been an important topic in philosophy of science for many years. This book highlights some of the conceptual problems that still need to be solved and points out a number of fresh philosophical ideas to explore.

Combining widely-accepted concepts of human behavior with elements from Rational Emotive Therapy, Positive Psychology, Emotional Intelligence, and most prominently Transactional Analysis, the second edition of Rethinking Everything explores in immediately understandable terms why we act as we do, how we frequently undermine our relationships, why we often cripple our potential, and how we can take greater control of our lives. By providing the language, real-life examples, cutting-edge research, and behavioral explanations to label, recognize, and examine dysfunctional conduct, Rethinking Everything empowers an awareness-inspired journey towards self-improvement. To that end, the expectation is not for readers of this book to save the world, but rather for those internalizing its insights to rethink everything in saving themselves.

What makes one explanation better than another? How can we tell when an explanation has really answered our question? In a lively and readable discussion, Garfinkel argues that the key to understanding an explanation is to discover what question is really being answered. He then suggests criteria for a good explanation and goes on to examine some classic explanations in social and natural science.

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. 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 Resource The 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.

Eric Maisel invites depression sufferers and their service providers to consider whether human sadness has been monetised into the disease of depression and asks readers to consider the personal implications of this 50 year cultural shift from human problem to medical ailment.

In recent years, the ontological argument and theistic metaphysics have been criticised by philosophers working in both the analytic and continental traditions. Responses to these criticisms have primarily come from philosophers who make use of the traditional, and problematic, concept of God. In this volume, Daniel A. Dombrowski defends the ontological argument against its contemporary critics, but he does so by using a neoclassical or process concept of God, thereby strengthening the case for a contemporary theistic metaphysics. Relying on the thought of Charles Hartshorne, he builds on Hartshorne's crucial distinction between divine existence and divine actuality, which enables neoclassical defenders of the ontological argument to avoid the familiar criticism that the argument moves illegitimately from an abstract concept to concrete reality. His argument, thus, avoids the problems inherent in the traditional concept of God as static.