Tamas Szekely
Tamas Szekely
Interests
My work is largely on stochastic simulation methodology. I have focussed on developing discrete stochastic methods inspired by successful techniques from deterministic regime.
A central theme in my work has been Richardson extrapolation, a technique that improves the order of accuracy of a numerical method. Extrapolation can also be applied in the discrete stochastic regime with good success. Using extrapolation, it is possible to construct higher-order methods that can be very accurate (up to the Monte Carlo error level).
I am now applying these higher-order methods to biological problems.
Selected Publications
-
Persistent Unequal Sex Ratio in a Population of Grayling (Salmonidae) and Possible Role of Temperature Increase
Claus Wedekind‚ Guillaume Evanno‚ Tamás Székely‚ Manuel Pompini‚ Olivier Darbellay and Joachim Guthruf
In Conservation Biology. 2012.
Details about Persistent Unequal Sex Ratio in a Population of Grayling (Salmonidae) and Possible Role of Temperature Increase | BibTeX data for Persistent Unequal Sex Ratio in a Population of Grayling (Salmonidae) and Possible Role of Temperature Increase | DOI (10.1111/j.1523-1739.2012.01909.x) | Link to Persistent Unequal Sex Ratio in a Population of Grayling (Salmonidae) and Possible Role of Temperature Increase
-
A higher−order numerical framework for stochastic simulation of chemical reaction systems
Tamas Szekely‚ Kevin Burrage‚ Radek Erban and Konstantinos Zygalakis
In BMC Systems Biology. Vol. 6. No. 1. Pages 85. 2012.
Details about A higher−order numerical framework for stochastic simulation of chemical reaction systems | BibTeX data for A higher−order numerical framework for stochastic simulation of chemical reaction systems | DOI (10.1186/1752-0509-6-85) | Link to A higher−order numerical framework for stochastic simulation of chemical reaction systems