Multiple regression techniques for modelling dates of first performances of Shakespeare-era plays
作者：
Highlights：
• Prediction of dates by iterative Continued Fraction Regression was state of the art.
• Iter-CFR used <20 words per model so was readily interpretable.
• The most accurate model was at depth = 0: change is evidently monotonic.
• Some of the words in the models were unexpected as markers of change over time.
• Iter-CFR performed at state of the art in predicting dates for Out-of-Domain plays.
摘要
•Prediction of dates by iterative Continued Fraction Regression was state of the art.•Iter-CFR used <20 words per model so was readily interpretable.•The most accurate model was at depth = 0: change is evidently monotonic.•Some of the words in the models were unexpected as markers of change over time.•Iter-CFR performed at state of the art in predicting dates for Out-of-Domain plays.
论文关键词：Shakespeare-era plays,Continued fraction regression,Dating of plays,Play’s genre,Memetic algorithm
论文评审过程：Received 18 April 2021, Revised 9 December 2021, Accepted 12 March 2022, Available online 22 March 2022, Version of Record 9 April 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116903
