X-Nico

unusual facts about stochastic



Anderson Gray McKendrick

Some of this papers other results for stochastic models of epidemics and population growth were rediscovered by William Feller in 1939.

Bernt Øksendal

In 2005, he taught a course in stochastic calculus at the African Institute for Mathematical Sciences in Cape Town South Africa.

Downscaling

In 1997, Wilby and Wigley divided downscaling into four categories: regression methods, weather pattern-based approaches, stochastic weather generators, which are all statistical downscaling methods, and limited-area modeling.

Filip Lundberg

Cramér mentions later work by Andrey Kolmogorov and William Feller but it was Cramér himself who developed Lundberg's ideas on risk and linked them to the emerging theory of stochastic processes.

Henry C. Pearson

Pearson was known for abstract, multi-colored globes; 'stochastic' or chance-generated paintings; paintings modeled on Dogon (West African) sculpture; as well as paintings based on the map work he did in the army.

K shortest path routing

In 2010, Michael Gunter et al. published a book on Symbolic calculation of K-shortest paths and related measures with the stochastic process algebra tool CASPA.

Langevin equation

T. Coffey (Trinity College, Dublin, Ireland) and Yu P. Kalmykov (Université de Perpignan, France, The Langevin Equation: With Applications to Stochastic Problems in Physics, Chemistry and Electrical Engineering (Third edition), World Scientific Series in Contemporary Chemical Physics - Vol 27.

Leonard Jimmie Savage

One of Savage's indirect contributions was his discovery of the work of Louis Bachelier on stochastic models for asset prices and the mathematical theory of option pricing.

Michael F. Shlesinger

In 1975, he obtained his PhD from the University of Rochester under Elliott Waters Montroll for a thesis entitled A Stochastic Theory of Anomalous Transient Photocurrents - in Certain Xerographic Films and of the 1/f Noise in Neural Membrane.

Pepa

PEPA (Performance Evaluation Process Algebra), a stochastic process algebra designed for modelling computer and communication systems

Peter Guy Wolynes

In 2000 he moved to the Department of Chemistry and Biochemistry at the University of California, San Diego as the Francis Crick Chair in the Physical Sciences at UCSD and in addition to continuing his work on many body chemical physics, protein folding and structure prediction, he is also studying stochastic aspects of cell biology.

Sergio Fajardo

Fajardo, S., Keisler, H.J. (2002), Model Theory of Stochastic Processes.

SPSA

Simultaneous perturbation stochastic approximation, a stochastic method for optimization, especially appropriate for multivariable problems

Stochastic forensics

Stochastic forensics was invented in 2010 by computer scientist Jonathan Grier to detect and investigate insider data theft.

Stochastic programming

Andrzej Ruszczynski and Alexander Shapiro (eds.) (2003) Stochastic Programming.

Stochastic screening

Stochastic screening or FM screening is a halftone process based on pseudo-random distribution of halftone dots, using frequency modulation (FM) to change the density of dots according to the gray level desired.

Suresh H. Moolgavkar

Among his many scientific contributions is the development of the two-stage clonal expansion (TSCE) model of carcinogenesis, also known as the Moolgavkar-Venzon-Knudson (MVK) model, a stochastic cell-level description of carcinogenesis based on Alfred G. Knudson’s two-hit hypothesis.

T-Distributed Stochastic Neighbor Embedding

t-Distributed Stochastic Neighbor Embedding (t-SNE) is a machine learning algorithm for dimensionality reduction developed by Laurens van der Maaten and Geoffrey Hinton.


see also