Significados de stochastic model em inglês

This report will compare this model with the stochastic model of tumorigenesis.

The observed residual variability is captured by a simple stochastic model.

We propose a minimalist stochastic model of multilevel (or group) selection.

Our approach applies a spatio-temporal stochastic model for simulating the spread of PD in the separate scenarios.

We illustrate the impact of improved decision-making by simulation results based on a stochastic model of intervention risk.

We propose a stochastic model for the kinetics of cells that have been tagged with a chemical label.

Patterns of disease persistence and extinction are studied analytically using branching-process approximations and numerically using stochastic model simulations.

DIAS employs a temporal causal probabilistic network (CPN) to implement a stochastic model of carbohydrate metabolism.

In this paper, a stochastic model is proposed to estimate the TSS load and its dynamics during rain events.

We found the influence of freshwater input from glacier melting in shaping bacterial assemblage composition through the stochastic model.

Objective: To use a stochastic model to gain insights into the consequence for resistance development of different drug use patterns.

Here we have developed the original dimer catastrophe model by incorporating copy number variance with a stochastic model of plasmid replication.

In this paper, we present a stochastic model for studying such longitudinal data in joint analyses of genetic and non-genetic sub-samples.

This effect is consistent with a stochastic model of gene expression in which proteins are produced in random and sharp bursts.

We accomplish this by defining the causal estimands in terms of a linear stochastic model of potential outcomes (counterfactuals).

The method is applied on simulated MMG data, using a simple stochastic model to determine its robustness and to seven MMG datasets.