Otto - Publikationen

Harke, F. H., Merk, M., Otto, P. (2022): Estimation of Asymmetric Spatial Autoregressive Dependence on Irregular Lattices.,  Symmetry 14(7)
DOI: https://doi.org/10.3390/sym14071474

Malinovskaya, A., Mozharovskyi, P., & Otto, P. (2022): Statistical monitoring of models based on artificial intelligence.,  arXiv preprint.
arXiv: 2209.07436

Malinovskaya, A., Otto, P., Peters, T. (2022): Statistical learning for change point and anomaly detection in graphs,  Artificial Intelligence, Big Data and Data Science in Statistics (pp. 85-109). Springer, Cham.
arXiv: 2011.06080

Otto, P., Schmid, W. (2022): A general framework for spatial GARCH models.,  Stat Papers
DOI: https://doi.org/10.1007/s00362-022-01357-1

Otto, P., Steinert, R. (2022): Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks.,  Journal of Computational and Graphical Statistics
DOI: 10.1080/10618600.2022.2107530

Piter, A., Otto, P., Alkhatib, H. (2022): The Helsinki Bike-Sharing Systems - Insights gained from a spatiotemporal functional model.,  Journal of the Royal Statistical Society Series A
DOI: https://doi.org/10.1111/rssa.12834

Fassò, A., Maranzano, P., & Otto, P. (2021): Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown,  Spatial Statistics, 100549.
DOI: https://doi.org/10.1016/j.spasta.2021.100549

Malinovskaya, A., Otto, P. (2021): Online network monitoring,  Statistical Methods & Applications, Special Issue on Network Modelling (online first).
DOI: https://doi.org/10.1007/s10260-021-00589-z

Merk, M., Otto, P. (2021): Directional spatial autoregressive dependence in the conditional first- and second-order moments,  Spatial Statistics (online first)
DOI: https://doi.org/10.1016/j.spasta.2020.100490

Miryam S. Merk, Philipp Otto (2021): Estimation of the spatial weighting matrix for regular lattice data -- An adaptive lasso approach with cross-sectional resampling,  Environmetrics (online first)
DOI: https://doi.org/10.1002/env.2705

Otto, P., Otto, P. (2021): Impact of academic authorship characteristics on article citations,  REVSTAT (online first). Weitere Informationen

Otto, P., Piter, A., Gijsman, R. (2021): Statistical Analysis of Beach Profile Evolution and External Influences: Applying a Spatiotemporal Functional Approach,  Coastal Engineering 170
DOI: https://doi.org/10.1016/j.coastaleng.2021.103999

Antoniuk, A., Merk, M., Otto, P. (2020): Spatial Statistics, or how to extract knowledge from data,  In Handbook of Big Geospatial Data. Springer Handbook Series in Computer Science. Weitere Informationen

Otto, P. (2020): Parallelized Monitoring of Dependent Spatiotemporal Processes,  Frontiers of Statistical Quality Control 13. Weitere Informationen

Robert Garthoff, Philipp Otto (2020): Spatiotemporal procedures for the statistical surveillance of spatial autoregressive models with heavy tails,  Communications in Statistics - Simulation and Computation (online first)
DOI: 10.1080/03610918.2020.1779294

Miryam S. Merk, Philipp Otto (2019): Estimation of Anisotropic, Time‐Varying Spatial Spillovers of Fine Particulate Matter Due to Wind Direction,  Geographical Analysis
DOI: 10.1111/gean.12205

Otto, P., Schmid, W. & Garthoff, R. (2019): Stochastic properties of spatial and spatiotemporal ARCH models,  Statistical Papers, 1-16
DOI: 10.1007/s00362-019-01106-x

Philipp Otto (2019): spGARCH: An R-Package for Spatial and Spatiotemporal ARCH and GARCH models,  The R-Journal Weitere Informationen
DOI: 10.32614/RJ-2019-053

Philipp Otto, Wolfgang Schmid (2018): Discussion of “Statistical methods for network surveillance” by Daniel Jeske, Nathaniel Stevens, Alexander Tartakovsky, and James Wilson,  Applied Stochastic Models in Business and Industry 34(4). pp. 452-456
DOI: 10.1002/asmb.2360

Philipp Otto, Wolfgang Schmid (2018): Spatiotemporal analysis of German real-estate prices,  The Annals of Regional Science Volume 60, Issue 1, pp 41–72
DOI: https://rdcu.be/bdG3n

Philipp Otto, Wolfgang Schmid, Robert Garthoff (2018): Generalised spatial and spatiotemporal autoregressive conditional heteroscedasticity,  Spatial Statistics Volume 26, August 2018, Pages 125-145
DOI: 10.1016/j.spasta.2018.07.005

Robert Garthoff, Philipp Otto (2018): Verfahren zur Überwachung räumlicher autoregressiver Prozesse mit externen Regressoren,  AStA Wirtschafts- und Sozialstatistisches Archiv Volume 12, Issue 2, pp 107–133
DOI: https://rdcu.be/bdG0S

Philipp Otto (2017): A note on efficient simulation of multidimensional spatial autoregressive processes,  Communications in Statistics - Simulation and Computation Volume 46, 2017 - Issue 6
DOI: 10.1080/03610918.2015.1122050

Anna-Liesa Lange, Philipp Otto (2016): Bayes’sche Statistik in der Dienstleistungsforschung,  AStA Wirtschafts- und Sozialstatistisches Archiv Volume 10, Issue 4, pp 247–267
DOI: https://rdcu.be/bdG4t

Philipp Otto, Wolfgang Schmid (2016): Detection of spatial change points in the mean and covariances of multivariate simultaneous autoregressive models,  Biometrical Journal 58(5). pp. 1113-1137
DOI: 10.1002/bimj.201500148

Robert Garthoff, Philipp Otto (2016): Control charts for multivariate spatial autoregressive models,  AStA Advances in Statistical Analysis Volume 101, Issue 1, pp 67–94
DOI: https://rdcu.be/bdG1S

Philipp Otto (2019): Modeling Spatial Dependence in Local Risks and Uncertainties,  Proceedings of the 29th European Safety and Reliability Conference Weitere Informationen
DOI: 10.3850/978-981-11-2724-3_0890-cd

Rik Gijsman, Philipp Otto, Torsten Schlurmann, Jan Visscher (2019): Statistical analysis of Sylt’s coastal profiles using a spatiotemporal functional model,  Smart Statistics for Smart Applications, Pearson Proceedings, pp. 331-338 Weitere Informationen

Garthoff, R., Otto, P. (2015): Simultaneous surveillance of means and covariances of spatial models,  Springer Proceedings in Mathematics & Statistics, vol. 122, pp. 271-281
DOI: 10.1007/978-3-319-13881-7_30
ISBN: 978-3-319-13881-7

Otto, P. (2010): Evaluation of Innovative Potential (Оценка инновационности страны),  16th International Conference in Economics for Young Researches “Companies and Reforms in Russia

Otto, Philipp, Lange, Anna-Liesa (2017): Arbeitsbuch der Angewandten Statistik,  SpringerGabler

Philipp Otto, Wolfgang Schmid (2019): Spatial and Spatiotemporal GARCH Models -- A Unified Approach
arXiv: 1908.08320

Otto, Philipp (2018): spGARCH: An R-Package for Spatial and Spatiotemporal ARCH models