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~accessRights:"free"
~language:"eng"
~person:"Dhaene, Jan"
~person:"Hopp, Daniel"
~subject:"LSTM"
~subject:"Neural networks"
~subject:"Theorie"
~subject:"Theory"
~type:"book"
~type_genre:"Amtliche Publikation"
~type_genre:"Lehrbuch"
~type_genre:"Statistics"
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Benchmarking econometric and machine learning methodologies in nowcasting
Hopp, Daniel
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2022
Persistent link: https://www.econbiz.de/10013538957
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2
Feasibility of nowcasting SDG indicators : a comprehensive survey
Hopp, Daniel
;
Fu, Emily
;
Peltola, Anu
-
2022
Persistent link: https://www.econbiz.de/10013538934
Saved in:
3
Economic nowcasting with long short-term memory artificial neural networks (LSTM)
Hopp, Daniel
-
2021
Persistent link: https://www.econbiz.de/10012492809
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4
Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19 crisis
Hopp, Daniel
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2021
Persistent link: https://www.econbiz.de/10013536140
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5
Modern actuarial risk theory : using R
Kaas, R.
;
Goovaerts, Marc J.
;
Dhaene, Jan
;
Denuit, Michel
-
2009
-
2nd ed., corr. 2nd printing
Persistent link: https://www.econbiz.de/10003870922
Saved in:
6
Modern actuarial risk theory : using R
Kaas, R.
;
Goovaerts, Marc J.
;
Dhaene, Jan
;
Denuit, Michel
-
2009
-
2. ed., corr. 2. print.
Persistent link: https://www.econbiz.de/10003726725
Saved in:
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