Probit ("probability unit") regression is a classical machine learning technique that can be used for binary classification -- predicting an outcome that can only be one of two discrete values. For ...

Multivariate binary data arise in a variety of settings. In this article we propose a practical and efficient computational framework for maximum likelihood estimation of multivariate probit ...

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 ...

来自布基纳法索的研究团队针对农业家庭中女性赋权水平与粮食安全的关联性开展研究，运用扩展有序概率模型(extended ordered probit model)分析人口健康调查数据，证实妇女赋权能显著降低家庭粮食不安全指数和饥饿指数，为制定改善民生政策提供重要依据。