Yes, and a probit model shows us the way. Consider the next chart, which transforms the data in the chart above into monthly probabilities of whether a recession is underway in any given month.

Remember, a probit model is designed to estimate probabilities for one of two states, which is considerably easier and therefore more practical in the real world vs. trying to model a spectrum of ...

In this paper, I introduce changepoint models for binary and ordered time series data based on Chib's hidden Markov model. The extension of the changepoint model to a binary probit model is ...

Various frameworks have been suggested for assessing the risk associated with continuous toxicity outcomes. The first formulates the effect of exposure on the adverse effect via a simple normal model ...

Example 45.3: Probit Model with Likelihood function The data, taken from Lee (1974), consist of patient characteristics and a variable indicating whether cancer remission occured.

A general log likelihood specification is used in the MODEL statement, and the RANDOM statement defines the random effect U to have standard deviation SD and subject variable SUB. The REPLICATE ...