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We propose a new nonlinear classification method based on a Bayesian "sum-of-trees" model, the Bayesian Additive Classification Tree (BACT), which extends the Bayesian Additive Regression Tree (BART) method into the classification context. Like BART, the BACT is a Bayesian nonparametric additive...
Persistent link: https://www.econbiz.de/10003635971
surveyed 371 German farmers and 215 foresters in 2022 online. Both groups were financial literate, reported a neutral … statistically significant differences between contextualized and generalized risk attitude. Unlike foresters, farmers displayed …
Persistent link: https://www.econbiz.de/10015053882
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production shifts across state borders. Further expansion of existing dairy centres is expected as farmers intend to increase …
Persistent link: https://www.econbiz.de/10010301109
production shifts across state borders. Further expansion of existing dairy centres is expected as farmers intend to increase …
Persistent link: https://www.econbiz.de/10003806217
In der vorliegenden Studie erfolgt eine regional differenzierte Analyse der Milchproduktion. Grundlage sind neben zahlreichen agrarstatistischen Quellen auch Expertenpanels in ausgewählten Regionen. Es werden Schlussfolgerungen über die künftige Standortorientierung der Milchproduktion...
Persistent link: https://www.econbiz.de/10003755185
We develop a time-varying transition probabilities Markov Switching model in which inflation is characterised by two regimes (high and low inflation). Using Bayesian techniques, we apply the model to the euro area, Germany, the US, the UK and Canada for data from the 1960s up to the present. Our...
Persistent link: https://www.econbiz.de/10011605253
We develop a time-varying transition probabilities Markov Switching model in which inflation is characterised by two regimes (high and low inflation). Using Bayesian techniques, we apply the model to the euro area, Germany, the US, the UK and Canada for data from the 1960s up to the present. Our...
Persistent link: https://www.econbiz.de/10003973538