Revenge of the White Swan
@article{Lund2007RevengeOT, title={Revenge of the White Swan}, author={Robert B. Lund}, journal={The American Statistician}, year={2007}, volume={61}, pages={189 - 192} }
This article comprehensively reviews the recent controversial book The Black Swan: Impact of the Highly Improbable. Whereas the book is statistically reckless about many issues in our profession, I also find reason to recommend perusal of its contents.
4 Citations
When Black Swans Aren't: On Better Recognition, Assessment, and Forecasting of Large Scale, Large Impact, and Rare Event Change
- Psychology
- 2013
The article discusses professional best practice implications stemming from differing varieties of thinking about black swans. The possibilities of rare event recognition in general, and the…
Is risk analysis scientific?
- EconomicsRisk analysis : an official publication of the Society for Risk Analysis
- 2014
Risk analysis is a scientific field of study, when understood as consisting primarily of knowledge about risk-related phenomena, processes, events, etc., and concepts, theories, frameworks, approaches, principles, methods and models to understand, assess, characterize, communicate, and manage risk.
Strategies for antiviral stockpiling for future influenza pandemics: a global epidemic-economic perspective
- EconomicsJournal of The Royal Society Interface
- 2011
Using an epidemic–economic model, the effect on total mortality and costs of antiviral stockpile sizes for Brazil, China, Guatemala, India, Indonesia, New Zealand, Singapore, the UK, the USA and Zimbabwe is studied.
Black Swan Events and Intelligent Automation for Routine Safety Surveillance
- Computer ScienceDrug Safety
- 2022
It is argued that effective approaches to managing data on potential black swan events are essential for trust and outline several strategies to address data on potentially black swans events during data ingestion.
References
SHOWING 1-10 OF 10 REFERENCES
A Note on the Asymptotic Independence of the Sum and Maximum of Strongly Mixing Stationary Random Variables
- Mathematics
- 1995
It is shown that Σ i=1 n X n and max i=1 n X i are asymptotically independent if {X i } is strongly mixing and Σ i=1 n X i is asymptotically Gaussian. This generalizes a result of Anderson and…
Preparing for the Worst: Incorporating Downside Risk in Stock Market Investments
- Economics
- 2004
List of Figures.List of Tables.Preface.1. Quantitative Measures of the Stock Market.1.1. Pricing Future Cash Flows.1.2. The Expected Return.1.3. Volatility.1.4. Modeling of Stock Price Diffusion.1.5.…
Interactive Statistics, Upper Saddle River
- 1998
Statistics of Extremes, New York: Columbia
- 1958
Return Periods of Atlantic Hurricanes