---
title: New Approximate Mixing Concept for Time Series
url: https://www.ml-quant.com/papers/ssrn/4882128/
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: SSRN 4882128
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4882128
featured: 2024-07-03
citations: unknown
topic: Econometrics & Forecasting
---


# New Approximate Mixing Concept for Time Series

A new concept called approximate mixing for random variables on metric spaces provides a balance between traditional mixing assumptions and proves a central limit theorem for nonstationary time series on Hilbert spaces.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4882128
- Identifier: SSRN 4882128
- Released: 2024-07-01
- First featured: Quant Letter No. 55 (2024-07-03): https://www.ml-quant.com/issues/2024-07-03/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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