Towards Accountability in Machine Learning Applications: A System-testing Approach
How do ML-models arrive at their predictions? Do they do what we hope they do — or are corners cut?
Posts by Category
working papers
Aesthetic Preferences for Residential Architecture: Finding Ground Truth with Machine Learning Approaches
This paper first collects binary classifications of house pictures from a large group of participants and then trains personalized ML classifiers for each pa...
publications
New Publication: The Total Return To Real Estate
New research accepted for publication at the Review of Financial Studies (RFS) suggests that returns to real estate are solid but not exceptional: No sign of...
Machine Learning, Architectural Styles and Property Values
New research accepted for publication at the Journal of Real Estate Finance and Economics: This paper couples a traditional hedonic model with architectural ...
blog
Nothing but hot air…
My previous website went down in flames (or rather: is now hosted in a black cloud).
Working paper
Working Paper: A New Back Casting Method for Valuing Urban Land: Comparison to Land Residuals
New working paper with John M. Clapp: An new valuation approach for urban land.