Instant purchase welcome Slight scratches on the cover. The text is in good condition without any cutouts, but there are red lines drawn in a few places. Please be aware of this before purchasing. "The Heretical Statistics: Bayesian" Hikaru Tominaga / Sharon Bertsch McGrayne Price: ¥1760 Bayesian statistics are used in familiar IT such as machine translation and spam filtering, and are now an essential theory for artificial intelligence and big data analysis. However, "Bayes" was considered heretical for nearly 200 years by the mainstream "frequentist" in the statistics world. Nevertheless, it quietly developed in practical aspects such as military applications like code decryption and the search for enemy submarines during and after World War II, as well as actuarial science and decision theory. Eventually, the progress and spread of computers dramatically reversed the disadvantage of Bayesian statistics. The strange history of Bayesian statistics and the all-too-human conflicts of statisticians are told for the first time! <From the Table of Contents> Preface and Disclaimer to Readers [Part 1: The Praise and Blame of the Dawn] Chapter 1: A Great Discovery Abandoned by its Discoverer Chapter 2: The Man Who Completed "Bayes' Theorem" Chapter 3: Fierce Criticism of Bayes' Theorem [Part 2: The World War II Era] Chapter 4: Bayes Becomes a War Hero Chapter 5: Becoming a Taboo Again [Part 3: People Who Aimed for the Revival of Bayes] Chapter 6: The Counterattack Started from the World of Actuaries Chapter 7: The Three Who Systematized and Philosophized Bayes Chapter 8: Bayes Uncovers the Cause of Lung Cancer Chapter 9: Measuring Unknown Risks During the Cold War Chapter 10: The Bayesian Counterattack and Intensification of Controversy [Part 4: Bayes Begins to Demonstrate Its Ability] Chapter 11: Using Bayes for Decision Making Chapter 12: Who Wrote the Federalist Papers? Chapter 13: Bayes Supported the Election Night Results Chapter 14: Predicting the Three Mile Island Nuclear Accident Chapter 15: Searching for Hydrogen Bombs and Submarines Lost at Sea [Part 5: What Brought Victory to Bayes] Chapter 16: A Decisive Breakthrough Chapter 17: Bayesian Statistics That Are Changing the World Appendix a "Dr. Fisher's Case Studies": The Doctor's Religious Experience Appendix b Applying Bayes' Theorem to Mammography and Breast Cancer