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  3. NISMO: Novel Interpretable Spatial Machine Learning for Hedonic Real Estate Modeling NISMO: Novel Interpretable Spatial Machine Learning for Hedonic Real Estate Modeling

NISMO: Novel Interpretable Spatial Machine Learning for Hedonic Real Estate Modeling

The goal of this project is to develop novel machine learning methods for hedonic real estate modeling.

Brief information

School:

Business

Status:

Ongoing

Period:

01.09.2022 - 31.08.2025

Overview

We plan to develop novel machine learning methods for hedonic real estate modeling which (i) combine state-of-the-art machine learning methods with spatial statistical models, (ii) are interpretable, (iii) can incorporate expert knowledge restrictions, and (iv) scale well to large data.

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Facts

Type of project

Forschung

Internal organisations involved
  • Institute of Financial Services Zug (IFZ)
Funding
  • Innosuisse - HSLU als Hauptforschungspartnerin (Main Research Partner)
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Persons involved: internal

Project manager
  • Fabio Sigrist
Member of project team
  • Tim Gyger
  • Markus Schmidiger

Brief information

School:

Business

Status:

Ongoing

Period:

09/01/2022 - 08/31/2025

Project Head

Prof. Dr. Fabio Sigrist

Lecturer

+41 41 757 67 61

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