Multistage hierarchical capture–recapture models

A Hierarchical Multistage Interconnection Network

Multistage interconnection networks are used in many applications ranging from connecting processors to memory modules in a parallel processing system, to high-speed network switches and routers. One of the major drawbacks in multistage networks is the lack of proximity concept. All nodes are at the same distance from any other node. In this paper, we propose a new hierarchical Multistage Netwo...

Hierarchical Sparsity in Multistage Convex Stochastic Programs

Multistage models for carcinogenesis.

The multistage model is tested on several human and animal data sets. It fits in some cases but not in others. With human lung cancer data, there is a drop in risk for ex-smokers quite different from the predictions of the model. The results are not conclusive but are compatible with the view that the multistage model provides a family of curves that often fit cancer incidence data, but may not...

Multistage models of carcinogenesis.

The simple multistage model of carcinogenesis is outlined. It provides a satisfactory explanation of the power law for the age incidence of many forms of epithelial carcinoma, for the effects in human populations of changing exposures to supposed carcinogenic agents, and for many of the observed effects of applied carcinogens in animal experiments. In particular, the evidence on the effects of ...

Scenario generation for multistage models

∃ many models suitable for exploitation of financial time series and stochastic models with continuous time ∃ various specific problems, e.g. – various levels of information on various sources of uncertainty – demographic data, economic factors – correlations of stock market and bond returns – problem specific additional random factors (prepayment rates, defaults ...) – difficulties to model il...