Cellular dynamics are intrinsically noisy, so mechanistic models must incorporate stochasticity if they are to adequately model experimental observations. As well as intrinsic stochasticity in gene ...

Stochastic analysis and modelling encapsulate a rich field that combines rigorous probability theory with analytical tools to capture and forecast the behaviour of systems influenced by inherent ...

Operations Research, Vol. 41, No. 1, Special Issue on Stochastic and Dynamic Models in Transportation (Jan. - Feb., 1993), pp. 102-126 (25 pages) The empty container allocation problem occurs in the ...

All living things -- from the simplest animal and plant organisms to the human body -- live closely together with an enormous abundance of microbial symbionts, which colonize the insides and outsides ...

This is a preview. Log in through your library . Abstract We analyse the limit behaviour of a stochastic structured metapopulation model as the number of its patches goes to infinity. The sequence of ...

The FCA is right to question consumers’ understanding of stochastic modelling, financial planning software provider Prestwood has said. Prestwood Software said used alone, stochastic modelling ...

The FCA has ruled out looking into the issue of stochastic modelling, claiming it is for financial advisers to make sure clients understand the risks of a product. An FCA spokesman said the watchdog ...

Peter Friz, Paolo Pigato and Jonathan Seibel propose a modification of a given stochastic volatility model ‘backbone’ capable of producing extreme short-dated implied skews, without adding jumps or ...

Every decision you make, whether it is in business or the stock market, is responsible for the volume of profits you yield in the end. However, many investors lose a chunk of their investments if they ...