Search Results - "HOPP, Daniel" :: K.UTB vyhledávací portál

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Benchmarking econometric and machine learning methodologies in nowcasting GDP

by Hopp, Daniel
Published in Empirical economics (01.05.2024)

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High incentives without high cost - The role of (perceived) stake sizes in dictator games

by Hopp, Daniel
Published in Journal of behavioral and experimental economics (01.04.2022)

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Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)

by Hopp, Daniel
Published in Journal of official statistics (01.09.2022)

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Using machine learning to make government spending greener

by Hopp, Daniel
Published in Statistical journal of the IAOS (2022)

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Performance of LSTM neural networks in nowcasting global trade during the COVID-19 crisis

by Hopp, Daniel
Published in Statistical journal of the IAOS (2022)

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The political economy of interregional competition for firms

by Hopp, Daniel, Kriebel, Michael
Published in Regional science and urban economics (01.11.2019)

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Mental accounting of public funds – The flypaper effect in the lab

by Becker, Johannes, Hopp, Daniel, Kriebel, Michael
Published in Journal of economic behavior & organization (01.08.2020)

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How altruistic is indirect reciprocity? — Evidence from gift-exchange games in the lab

by Hopp, Daniel, Süß, Karolin
Published in Journal of behavioral and experimental economics (01.02.2024)

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Feasibility of nowcasting SDG indicators: A comprehensive survey

by Hopp, Daniel, Fu, Emily, Peltola, Anu
Published in Statistical journal of the IAOS (2022)

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Free to play: UN Trade and Development's experience with developing its own open-source Retrieval Augmented Generation Large Language Model application

by Hopp, Daniel
Year of Publication 18.06.2024

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Constructing a criteria-based classification for Small Island Developing States: An Investigation

by MacFeely, Steve, Peltola, Anu, Barnat, Nour, Hoffmeister, Onno, Hopp, Daniel
Published in Journal of marine and island cultures (29.06.2021)

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Benchmarking Econometric and Machine Learning Methodologies in Nowcasting

by Hopp, Daniel
Published in arXiv.org (06.05.2022)

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Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19 crisis

by Hopp, Daniel
Published in arXiv.org (22.03.2022)

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Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)

by Hopp, Daniel
Year of Publication 15.06.2021

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Free to play: UN Trade and Development's experience with developing its own open-source Retrieval Augmented Generation Large Language Model application

by Hopp, Daniel
Published in arXiv.org (18.06.2024)

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Paper

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Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19 crisis

by Hopp, Daniel
Published in IDEAS Working Paper Series from RePEc (01.01.2022)

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Benchmarking Econometric and Machine Learning Methodologies in Nowcasting

by Hopp, Daniel
Published in IDEAS Working Paper Series from RePEc (01.01.2022)

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Paper

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Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)

by Hopp, Daniel
Published in arXiv.org (15.06.2021)

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Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)

by Hopp, Daniel
Published in IDEAS Working Paper Series from RePEc (01.01.2021)

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High incentives without high cost: The role of (perceived) stake sizes in dictator games

by Hopp, Daniel
Published in IDEAS Working Paper Series from RePEc (01.01.2021)

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