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Search: subject:"Spatial cross-validation"
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Automated valuation models
3
Hedonic modeling
3
Machine learning
3
Mass appraisal
3
Spatial autocorrelation
3
Spatial cross-validation
3
Artificial intelligence
2
Künstliche Intelligenz
2
Regional economics
2
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Autocorrelation
1
Autokorrelation
1
Econometric model
1
Estimation theory
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Hedonic price index
1
Hedonischer Preisindex
1
Immobilienpreis
1
Real estate price
1
Regional cluster
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Regional science
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Regionales Cluster
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Regionalwissenschaft
1
Schätztheorie
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clustering
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spatial autocorrelation
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spatial covariates
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spatial cross-validation
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spatial machine learning
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English
4
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Cajias, Marcelo
3
Deppner, Juergen
3
Kopczewska, Katarzyna
1
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The Journal of Real Estate Finance and Economics
2
The journal of real estate finance and economics
1
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ECONIS (ZBW)
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EconStor
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1
Accounting for spatial autocorrelation in algorithm-driven hedonic models : a
spatial
cross-validation
approach
Deppner, Juergen
;
Cajias, Marcelo
- In:
The journal of real estate finance and economics
68
(
2024
)
2
,
pp. 235-273
Persistent link: https://www.econbiz.de/10014494209
Saved in:
2
Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A
Spatial
Cross-Validation
Approach
Deppner, Juergen
;
Cajias, Marcelo
- In:
The Journal of Real Estate Finance and Economics
68
(
2022
)
2
,
pp. 235-273
-reduced
spatial
cross-validation
strategy. The findings confirm that error estimates from non-spatial resampling methods are overly …
Persistent link: https://www.econbiz.de/10015165677
Saved in:
3
Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A
Spatial
Cross-Validation
Approach
Deppner, Juergen
;
Cajias, Marcelo
- In:
The Journal of Real Estate Finance and Economics
68
(
2022
)
2
,
pp. 235-273
-reduced
spatial
cross-validation
strategy. The findings confirm that error estimates from non-spatial resampling methods are overly …
Persistent link: https://www.econbiz.de/10015408325
Saved in:
4
Spatial machine learning : new opportunities for regional science
Kopczewska, Katarzyna
-
2021
Persistent link: https://www.econbiz.de/10012795206
Saved in:
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