1. The Role of Statistics in Debunking Terrorism Myths. 2. Myth.1: We Know Terrorism When We See It. 3. Myth.2: Terrorism only aims at killing civilians. 4. Myth.3: The vulnerability of the West to terrorism. 5. Myth.4: A homogeneous increase of terrorism over time. 6. Myth.5: Terrorism Occurs Randomly. 7. Myth.6: Hotspots of Terrorism are Static. 8. Myth.7: Terrorism cannot be predicted. 9. Terrorism: Knowns, Unknowns, and Uncertainty.
Andre Python is ZJU100 young professor of Statistics at Zhejiang University. His current research interests are in extending statistical models to address policy-relevant issues raised by the spread of phenomena threatening global security and health. In 2017, Andre completed a PhD in Statistics at the University of St Andrews, applying a Bayesian spatiotemporal model to capture fine-scale patterns of non-state terrorism across the world. As postdoctoral researcher at the University of Oxford, he has developed geostatistical models and actively contributed to the design and teaching of Bayesian statistics and R software courses for PhD students and University staff.
"The book presents incredibly fascinating research, and can be
interesting and useful not only to specialists but to general
public for understanding and making informed judgments on terrorism
and its debunking with help of statistical data analysis and
prediction to prevent future attacks…Each chapter suggests
mathematical definitions, glossary, and additional reading sources.
Besides those, the book supplies with bibliography of 153 most
recent works and multiple links to the internet sites.."
~Technometrics
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