---
title: Improved Gaussian Process Mix Model
url: https://www.ml-quant.com/papers/repec/gam-jmathe-v-11-y-2023-i-10-p-2251-d-1144540/
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:gam:jmathe:v:11:y:2023:i:10:p:2251-:d:1144540
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2227-7390%2F11%2F10%2F2251%2Fpdf%3Bh%3Drepec%3Agam%3Ajmathe%3Av%3A11%3Ay%3A2023%3Ai%3A10%3Ap%3A2251-%3Ad%3A1144540
featured: 2023-05-24
citations: unknown
topic: Corporate Finance
---


# Improved Gaussian Process Mix Model

A bibliometric analysis found that corporate governance, fraud, and financial performance are primary issues in money laundering and financial and economic performance.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2227-7390%2F11%2F10%2F2251%2Fpdf%3Bh%3Drepec%3Agam%3Ajmathe%3Av%3A11%3Ay%3A2023%3Ai%3A10%3Ap%3A2251-%3Ad%3A1144540
- Identifier: RePEc:gam:jmathe:v:11:y:2023:i:10:p:2251-:d:1144540
- Released: 2023-05-24
- First featured: Quant Letter No. 1 (2023-05-24): https://www.ml-quant.com/issues/2023-05-24/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Corporate Finance

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