Chang Paradoxes in Scientific Inference

1. Auflage 2012
ISBN: 978-1-4665-0987-0
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 291 Seiten

Paradoxes are poems of science and philosophy that collectively allow us to address broad multidisciplinary issues within a microcosm. A true paradox is a source of creativity and a concise expression that delivers a profound idea and provokes a wild and endless imagination. The study of paradoxes leads to ultimate clarity and, at the same time, indisputably challenges your mind.
Paradoxes in Scientific Inference analyzes paradoxes from many different perspectives: statistics, mathematics, philosophy, science, artificial intelligence, and more. The book elaborates on findings and reaches new and exciting conclusions. It challenges your knowledge, intuition, and conventional wisdom, compelling you to adjust your way of thinking. Ultimately, you will learn effective scientific inference through studying the paradoxes.

Zielgruppe

Statisticians, mathematicians, computer scientists, and graduate students in statistics or computer science.

Autoren/Hrsg.

Chang, Mark

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik Mathematik Stochastik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

The Joy of Paradoxes: A Random Walk
Introduction to Paradox
Applications of Paradoxes
Mathematical Paradox
Probabilistic and Statistical Paradoxes

Mathematical and Plausible Reasoning
Probability and Randomness
Mathematical Logic and Formal Reasoning
Plausible Reasoning

Statistical Measures of Scientific Evidence
Introduction to Statistical Methods
Statistical Principles
Decision Theory Approach
Controversies in Evidence Measures
Causal Space Theory: Unification of Paradigms
Multiplicity: The Black Hole of Scientific Discovery

Scientific Principles and Inferences
Epistemology
Controversies in Scientific Philosophy
Paradox of a Logical System
Paradox and Game Theory

Artificial Intelligence
Paradoxes in Artificial Intelligence
Architecture of Artificial Intelligent Agent
Learning and Teaching

Appendix: Mathematical Notations
Bibliography
Index
A Review and Exercises appear at the end of each chapter.

Über Autor(innen)

Mark Chang is vice president of biometrics at AMAG Pharmaceuticals and an adjunct professor at Boston University. Dr. Chang is a co-founder of the International Society for Biopharmaceutical Statistics and an elected fellow of the American Statistical Association. He serves on the editorial boards of several statistical journals and has published five books on biostatistics and clinical trial designs.