Variation in organismal development is ubiquitous in nature but omitted from most age- and stage-structured population models. I give a general approach for formulating and analyzing its role in ...

Stochastic models have emerged as indispensable tools in understanding complex biological systems where randomness plays a crucial role. In the context of epidemic modelling, stochastic approaches ...

This is a preview. Log in through your library . Abstract 1. The dynamics and life history of a population of Banksia cuneata are described in relation to natural variation in rainfall and the ...

The purpose of this course, which will be held in English, is to give an introduction of some fundamental stochastic models and processes in Mathematical Biology and Population Genetics. A major part ...

Stochastic techniques for estimating uncertainty intervals for demographic forecasts are still not widely used by statistical institutes. One reason for this may be the complexity of the Monte Carlo ...

Although the phrase “climate model” frequently suggests a large deterministic code like a GCM, stochastic energy balance models (EBMs) continue to have a role to play, and indeed his part in their ...

Rice University researchers have developed a theoretical framework using stochastic analysis to predict menopause timing. By modeling ovarian follicle transitions, the study reveals a universal ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...