Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Philipp F. M. Baumann"'
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
We analyze the forces that explain inflation using a panel of 122 countries from 1997 to 2015 with 37 regressors. Ninety-eight models motivated by economic theory are compared to a boosting algorithm, non-linearities and structural breaks are conside
Externí odkaz:
https://doaj.org/article/e4d5b89e558240c5a8f7318e86b4330d
Autor:
David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller
Publikováno v:
Journal of Statistical Software, Vol 105, Pp 1-31 (2023)
In this paper we describe the implementation of semi-structured deep distributional regression, a flexible framework to learn conditional distributions based on the combination of additive regression models and deep networks. Our implementation encom
Externí odkaz:
https://doaj.org/article/da18f6b48a9a4792973885c91aad0334
Publikováno v:
Observational Studies, 9 (3)
Some causal parameters are defined on subgroups of the observed data, such as the average treatment effect on the treated and variations thereof. We explain how such parameters can be defined through parameters in a marginal structural (working) mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eee1cf7e5a6085ef6218f7bee1e1611
https://hdl.handle.net/20.500.11850/612246
https://hdl.handle.net/20.500.11850/612246
Publikováno v:
Journal of Causal Inference, 9 (1)
Journal of Causal Inference, Vol 9, Iss 1, Pp 109-146 (2021)
Journal of Causal Inference, Vol 9, Iss 1, Pp 109-146 (2021)
The notion that an independent central bank reduces a country’s inflation is a controversial hypothesis. To date, it has not been possible to satisfactorily answer this question because the complex macroeconomic structure that gives rise to the dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d119c5fd42e665a486ea8454705cc188
https://doi.org/10.1515/jci-2020-0016
https://doi.org/10.1515/jci-2020-0016
Autor:
Daniel Wächter, Anatol Helfenstein, Johan Six, Armin Keller, Reto Giulio Meuli, Philipp F. M. Baumann, Juhwan Lee, Andreas Gubler, Raphael A. Viscarra Rossel
Information on soils' composition and physical, chemical and biological properties is paramount to elucidate agroecosystem functioning in space and over time. For this purposes we developed a national Swiss soil spectral library (SSL; n = 4374) in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a02e2655b434ab2567af53506779afd9
https://doi.org/10.5194/soil-2020-105
https://doi.org/10.5194/soil-2020-105
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Research Track ISBN: 9783030865221
ECML/PKDD (3)
ECML/PKDD (3)
Learning the cumulative distribution function (CDF) of an outcome variable conditional on a set of features remains challenging, especially in high-dimensional settings. Conditional transformation models provide a semi-parametric approach that allows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0ba2f060145d15c7794030c598b5d95
https://www.zora.uzh.ch/id/eprint/213299/
https://www.zora.uzh.ch/id/eprint/213299/
Autor:
Matti Barthel, B.B. Mujinya, Dieudonné Chiragaga, Pieter Moonen, Eric Van Ranst, Andrew Sila, Bernard Vanlauwe, Laura Summerauer, Pascal Boeckx, Elizabeth Kearsley, Johan Six, Geert Baert, Sebastian Doetterl, Mario Reichenbach, Marijn Bauters, Aimé B. Heri-Kazi, Kristof Van Oost, Philipp F. M. Baumann, Benjamin Bukombe, Leonardo Ramirez-Lopez, Keith D. Shepherd
Publikováno v:
Soil Discussions
Information on soil properties is crucial for soil preservation, improving food security, and the provision of ecosystem services. Especially, for the African continent, spatially explicit information on soils and their ability to sustain these servi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a3fdb85f48747fcabebb4bc81968d90
Publikováno v:
Computational Statistics & Data Analysis. 167:107350
This work addresses the problem of conducting valid inference for additive and linear mixed models after model selection. One possible solution to overcome overconfident inference results after model selection is selective inference, which constitute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deb0bd09027ad54ab69b8202fcf6f3c5
https://doi.org/10.1016/j.csda.2021.107350
https://doi.org/10.1016/j.csda.2021.107350
Autor:
Johan Six, Reto Meuli, Andreas Gubler, Philipp F. M. Baumann, Raphael A. Viscarra Rossel, Armin Keller, Anatol Helfenstein, Juhwan Lee
Soil data at different scales are needed for assessments and monitoring of soil functions. Soil diffuse reflectance spectroscopy using visible–Near Infrared and mid-Infrared energies can be used to estimate a range of soil properties, rapidly and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4238acf1c379e4a6d379574ec949fc35
https://doi.org/10.5194/egusphere-egu2020-22569
https://doi.org/10.5194/egusphere-egu2020-22569