---
title: Markov-Switching Trees
url: https://www.ml-quant.com/papers/repec/spr-alstar-v-108-y-2024-i-2-d-10-1007-s10182-024-00501-6/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:spr:alstar:v:108:y:2024:i:2:d:10.1007_s10182-024-00501-6
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10182-024-00501-6%3Bh%3Drepec%3Aspr%3Aalstar%3Av%3A108%3Ay%3A2024%3Ai%3A2%3Ad%3A10.1007_s10182-024-00501-6
featured: 2024-07-10
citations: unknown
topic: Econometrics & Forecasting
---


# Markov-Switching Trees

The study suggests a method combining decision trees and time series modeling to predict play calls in the National Football League based on various factors.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10182-024-00501-6%3Bh%3Drepec%3Aspr%3Aalstar%3Av%3A108%3Ay%3A2024%3Ai%3A2%3Ad%3A10.1007_s10182-024-00501-6
- Identifier: RePEc:spr:alstar:v:108:y:2024:i:2:d:10.1007_s10182-024-00501-6
- Released: 2024-07-10
- First featured: Quant Letter No. 56 (2024-07-10): https://www.ml-quant.com/issues/2024-07-10/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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