These may be of interest:

Open access:

https://odajournal.com/2013/09/19/the-use-of-unconfounded-climatic-data-improves-atmospheric-prediction

https://odajournal.com/2016/09/19/novometric-analysis-with-ordered-class-variables-the-optimal-alternative-to-linear-regression-analysis

https://odajournal.com/2019/02/18/optimal-markov-model-relating-two-time-lagged-outcomes

Pay-for-View

Linden, A., & Yarnold, P.R. (2018). Using machine learning to evaluate treatment effects in multiple-group interrupted time series analysis. Journal of Evaluation in Clinical Practice, 24, 740-744 DOI: 10.1111/jep.12966

Linden, A., & Yarnold, P.R. (2016). Using machine learning to identify structural breaks in single-group interrupted time series designs. Journal of Evaluation in Clinical Practice, 22, 855-859. DOI: 10.1111/jep.12544