Johannes Bracher
Johannes Bracher
Karlsruhe Institute of Technology / Heidelberg Institute of Theoretical Studies
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Zitiert von
Zitiert von
Probabilistic forecasting in infectious disease epidemiology: the 13th Armitage lecture
L Held, S Meyer, J Bracher
Statistics in medicine 36 (22), 3443-3460, 2017
Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the US
EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ...
medRxiv, 2020
Long-term air pollution exposure and lung function in 15 year-old adolescents living in an urban and rural area in Germany: the GINIplus and LISAplus cohorts
E Fuertes, J Bracher, C Flexeder, I Markevych, C Klümper, B Hoffmann, ...
International journal of hygiene and environmental health 218 (7), 656-665, 2015
Evaluating epidemic forecasts in an interval format
J Bracher, EL Ray, T Gneiting, NG Reich
PLOS Computational Biology 17 (2), e1008618, 2021
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ...
medRxiv, 2021
Endemic-epidemic models with discrete-time serial interval distributions for infectious disease prediction
J Bracher, L Held
International Journal of Forecasting, 2020
On the multibin logarithmic score used in the FluSight competitions
J Bracher
Proceedings of the National Academy of Sciences 116 (42), 20809-20810, 2019
Using crowdsourced online experiments to study context-dependency of behavior
M Keuschnigg, F Bader, J Bracher
Social science research 59, 68-82, 2016
A marginal moment matching approach for fitting endemic-epidemic models to underreported disease surveillance counts
J Bracher, L Held
Biometrics, 2020
A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave
J Bracher, D Wolffram, J Deuschel, K Görgen, JL Ketterer, A Ullrich, ...
Nature Communications 12 (1), 1-16, 2021
A spatio-temporal approach to short-term prediction of visceral leishmaniasis diagnoses in India
ES Nightingale, LAC Chapman, S Srikantiah, S Subramanian, ...
PLOS Neglected Tropical Diseases 14 (7), e0008422, 2020
Periodically stationary multivariate autoregressive models
J Bracher, L Held
arXiv preprint arXiv:1707.04635, 2017
Comparing ensemble approaches for short-term probabilistic COVID-19 forecasts in the US
LC Brooks, EL Ray, J Bien, J Bracher, A Rumack, RJ Tibshirani, NG Reich
International Institute of Forecasters, 2020
Comment on" Under-reported data analysis with INAR-hidden Markov chains"
J Bracher
Statistics in Medicine 38 (5), 893-898, 2018
An extended note on the multibin logarithmic score used in the FluSight competitions
J Bracher
arXiv preprint arXiv:1910.07084, 2019
A new INARMA (1, 1) model with Poisson marginals
J Bracher
Workshop on Stochastic Models, Statistics and their Application, 323-333, 2019
An empirical assessment of influenza intensity thresholds obtained from the moving epidemic and WHO methods
J Bracher, JM Littek
medRxiv, 2021
Statistical modelling and forecasting of infectious disease surveillance counts
J Bracher
University of Zurich, 2020
Invited Discussion
L Held, J Bracher
Bayesian Analysis 14 (1), 296-300, 2019
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