On a logistic mixture autoregressive model

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Time-dependent series variance learning with recurrent mixture density networks (2013, methodology): “The logistic mixture model: The ability of the proposed here approach to learn descriptions of stochastic processes was tested over series generated by a logistic mixture model [39].”
Twenty Years of Mixture of Experts (2012, methodology): “For time-series data, Zeevi et al. [91] and Wong et al. [92] generalized the autoregressive models for time-series data by combining them with an ME structure.”
The ACR Model: A Multivariate Dynamic Mixture Autoregression (2008, unknown): “Note in this respect that the model in Wong and Li (2001a) and our ACR model are extensions of the mentioned static MAR in Wong and Li (2000) where (xt−1)=a, that is, with constant switching probability.”
Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model (2015, methodology): “In fact, they have been used in various applications, including Wong and Li (2001) for time-series data and Muthén and Asparouhov (2009) and Muthén and Shedden (1999) for psychological data.”