Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Melanie, Schienle"'
Autor:
Daniel Wolffram, Sam Abbott, Matthias An der Heiden, Sebastian Funk, Felix Günther, Davide Hailer, Stefan Heyder, Thomas Hotz, Jan van de Kassteele, Helmut Küchenhoff, Sören Müller-Hansen, Diellë Syliqi, Alexander Ullrich, Maximilian Weigert, Melanie Schienle, Johannes Bracher
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 8, p e1011394 (2023)
Real-time surveillance is a crucial element in the response to infectious disease outbreaks. However, the interpretation of incidence data is often hampered by delays occurring at various stages of data gathering and reporting. As a result, recent va
Externí odkaz:
https://doaj.org/article/0f26ad6c456b4b648aad5cdf9fd23c52
Autor:
Johannes Bracher, Daniel Wolffram, Jannik Deuschel, Konstantin Görgen, Jakob L. Ketterer, Alexander Ullrich, Sam Abbott, Maria V. Barbarossa, Dimitris Bertsimas, Sangeeta Bhatia, Marcin Bodych, Nikos I. Bosse, Jan Pablo Burgard, Lauren Castro, Geoffrey Fairchild, Jochen Fiedler, Jan Fuhrmann, Sebastian Funk, Anna Gambin, Krzysztof Gogolewski, Stefan Heyder, Thomas Hotz, Yuri Kheifetz, Holger Kirsten, Tyll Krueger, Ekaterina Krymova, Neele Leithäuser, Michael L. Li, Jan H. Meinke, Błażej Miasojedow, Isaac J. Michaud, Jan Mohring, Pierre Nouvellet, Jedrzej M. Nowosielski, Tomasz Ozanski, Maciej Radwan, Franciszek Rakowski, Markus Scholz, Saksham Soni, Ajitesh Srivastava, Tilmann Gneiting, Melanie Schienle
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-17 (2022)
Bracher et al. compare 15 forecasting models of COVID-19 cases and deaths in Germany and Poland between January and mid-April 2021. Many, though not all, models outperform a simple baseline model up to four weeks ahead, with ensemble methods showing
Externí odkaz:
https://doaj.org/article/538dfac0ac9e4eb3b14e8b4242363283
Autor:
Tilmann Gneiting, Daniel Wolffram, Johannes Resin, Kristof Kraus, Johannes Bracher, Timo Dimitriadis, Veit Hagenmeyer, Alexander I. Jordan, Sebastian Lerch, Kaleb Phipps, Melanie Schienle
Publikováno v:
Annual Review of Statistics and Its Application. 10:597-621
Model diagnostics and forecast evaluation are closely related tasks, with the former concerning in-sample goodness (or lack) of fit and the latter addressing predictive performance out-of-sample. We review the ubiquitous setting in which forecasts ar
Autor:
Andreas Bartols, Carsten Bormann, Luisa Werner, Melanie Schienle, Winfried Walther, Christof E. Dörfer
Publikováno v:
PeerJ, Vol 8, p e8495 (2020)
Background The aim of this study was to assess the clinical impact of non-surgical root canal treatments (NSRCT) performed with different treatment protocols on the probability of tooth survival without untoward events and to identify predictors infl
Externí odkaz:
https://doaj.org/article/94d126d5d2c84f8eb01c869235f38d60
Autor:
Shi Chen, Melanie Schienle
Publikováno v:
Journal of Business & Economic Statistics. :1-15
Autor:
Nicholas G, Reich, Justin, Lessler, Sebastian, Funk, Cecile, Viboud, Alessandro, Vespignani, Ryan J, Tibshirani, Katriona, Shea, Melanie, Schienle, Michael C, Runge, Roni, Rosenfeld, Evan L, Ray, Rene, Niehus, Helen C, Johnson, Michael A, Johansson, Harry, Hochheiser, Lauren, Gardner, Johannes, Bracher, Rebecca K, Borchering, Matthew, Biggerstaff
Publikováno v:
Am J Public Health
Publikováno v:
Mitteilungen der Deutschen Mathematiker-Vereinigung. 29:186-190
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Journal of International Economics. 139:103673
Autor:
Chong Liang, Melanie Schienle
Publikováno v:
Journal of Econometrics. 208:418-441
We provide a shrinkage type methodology which allows for simultaneous model selection and estimation of vector error correction models (VECM) when the dimension is large and can increase with sample size. Model determination is treated as a joint sel