Using cross‐validation methods to select time series models: Promises and pitfalls

Research article (British Journal of Mathematical and Statistical Psychology, 2023) · cited 21× · AI/ML
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Using cross‐validation methods to select time series models: Promises and pitfalls

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Using cross‐validation methods to select time series models: Promises and pitfalls is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Using cross‐validation methods to select time series models: Promises and pitfalls. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-crossvalidation-methods-to-select-time-series-models-promises-and-pitfalls
MLA “Using cross‐validation methods to select time series models: Promises and pitfalls.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-crossvalidation-methods-to-select-time-series-models-promises-and-pitfalls.
BibTeX @misc{4ortxyz_using-crossvalidation-methods-to-select-time-series-models-promises-and-pitfalls_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using cross‐validation methods to select time series models: Promises and pitfalls}}, year = {2026}, url = {https://4ort.xyz/entity/using-crossvalidation-methods-to-select-time-series-models-promises-and-pitfalls}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using cross‐validation methods to select time series models: Promises and pitfalls — https://4ort.xyz/entity/using-crossvalidation-methods-to-select-time-series-models-promises-and-pitfalls (retrieved 2026-05-24)

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