The phrase "a probability model for" is correct and usable in written English.
You can use it when discussing statistical methods, data analysis, or any context where modeling probabilities is relevant.
Example: "The researchers developed a probability model for predicting the likelihood of rain based on historical weather data."
Alternatives: "a statistical model for" or "a likelihood model for".
We introduce a probability model for populations of cells and viruses that interact in the presence of an anti-viral agent.
To design a probability model for prolonged mechanical ventilation (PMV) using variables obtained during the first 24 hours of the start of MV.
With those probabilities, we are able to develop a probability model for a photon to be received by the detector after exactly scatterings.
The Rayleigh distribution has also been used as a probability model for wind speed [31], although some applications have found Weibull to be more accurate [32, 36].
Further improvement may be added by systematically adding data of other findings (atrial fibrillation, list of medications, medical history) to combine to a probability model for stroke occurrence.
In this paper, the development of a probability model for nonlinear load exceedances subjected to a stochastic process with reversible cyclic load pulses is presented.
In this article, a probability model of the hello scheme for VANETs is proposed.
Then, a probability model is built for describing the probability distribution of the solution space, and a mechanism is provided to update the probability model with superior individuals.
Features were extracted and a probability model was constructed for each instrument using either naïve Bayes classification (Mitchell, 1997) or degree of association (Jarman et al., 2000).
The uncorrelation of individual effects with the other variables is a strong assumption, but we rely on Alessie et al. (2004), who compares the results of a similar model with a Linear Probability Model for both variables.
The Gompertz distribution (Gompertz, 1825) is a popular probability model for human mortality and it is a proportional hazards model like the Cox model.
