数理人口学・数理生物学セミナー

過去の記録 ~04/18次回の予定今後の予定 04/19~


2019年07月01日(月)

11:00-12:00   数理科学研究科棟(駒場) 123号室
Joel E. Cohen 氏 (The Rockefeller University and Columbia University)
Taylor's Law of Fluctuation Scaling
[ 講演概要 ]
A family of nonnegative random variables is said to obey Taylor's law when the variance is proportional to some power b of the mean. For example, in the family of exponential distributions, if the mean is m, then the variance is m^2, so the family of exponential distributions obeys Taylor's law exactly with b=2. Many stochastic processes and the prime numbers obey Taylor's law (exactly or asymptotically). Thousands of empirical illustrations of Taylor's law have been published in many different fields including ecology, demography, finance (stock and currency trading), cancer biology, genetics, fisheries, forestry, meteorology, agriculture, physics, cell biology, computer network engineering, and number theory. This survey talk will review some empirical and theoretical results and open problems about Taylor's law, including recently proved versions of Taylor's law for nonnegative stable laws with infinite mean.
[ 参考URL ]
https://www.rockefeller.edu/our-scientists/heads-of-laboratories/940-joel-e-cohen/