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It is also used in this work for the detection of marketing and promotion campaigns about which no information is available. In particular, two different State Space formulations are considered and compared: an Autoregressive Integrated Moving Average process and an Unobserved Components approach, in both cases with a linear regression to explanatory variables. Both yield very close estimations for covariate parameters, producing forecasts with similar performances for most transition rates. While the Unobserved Components approach is more robust and needs less human intervention in regards to model definition, it produces significantly worse forecasts for non-paying user abandonment probability. More critically, it also fails to detect a plausible marketing and promotion campaign scenario.<\/jats:p>","DOI":"10.3233\/ida-194940","type":"journal-article","created":{"date-parts":[[2021,2,2]],"date-time":"2021-02-02T14:41:58Z","timestamp":1612276918000},"page":"177-203","source":"Crossref","is-referenced-by-count":5,"title":["A time series approach to player churn and conversion in videogames"],"prefix":"10.1177","volume":"25","author":[{"given":"Ana","family":"Fern\u00e1ndez del R\u00edo","sequence":"first","affiliation":[{"name":"Data Science Research, Yokozuna Data, A Keywords Studio, Tokyo, Japan"},{"name":"Departamento de F\u00edsica Fundamental, Universidad Nacional de Educaci\u00f3n a Distancia (UNED), Madrid, Spain"}]},{"given":"Anna","family":"Guitart","sequence":"additional","affiliation":[{"name":"Data Science Research, Yokozuna Data, A Keywords Studio, Tokyo, Japan"}]},{"given":"\u00c1frica","family":"Peri\u00e1n\u1ebdz","sequence":"additional","affiliation":[{"name":"Data Science Research, Yokozuna Data, A Keywords Studio, Tokyo, Japan"}]}],"member":"179","reference":[{"key":"10.3233\/IDA-194940_ref2","unstructured":"A. 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