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Philipp Otto
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2020 – today
- 2024
- [j9]Anna Malinovskaya
, Pavlo Mozharovskyi
Statistical Process Monitoring of Artificial Neural Networks. Technometrics 66(1): 104-117 (2024) - [j8]Reza Mohammadi, Mohammad Taleai
Analyzing urban crash incidents: An advanced endogenous approach using spatiotemporal weights matrix. Trans. GIS 28(2): 368-410 (2024) - 2023
- [j7]Philipp Otto
Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks. J. Comput. Graph. Stat. 32(2): 696-711 (2023) - 2022
- [j6]Robert Garthoff, Philipp Otto
Spatiotemporal procedures for the statistical surveillance of spatial autoregressive models with heavy tails. Commun. Stat. Simul. Comput. 51(10): 5709-5737 (2022) - [j5]Franz H. Harke
Estimation of Asymmetric Spatial Autoregressive Dependence on Irregular Lattices. Symmetry 14(7): 1474 (2022) - [i2]Anna Malinovskaya, Pavlo Mozharovskyi, Philipp Otto
Statistical monitoring of models based on artificial intelligence. CoRR abs/2209.07436 (2022) - 2020
- [c4]Philipp Otto, Daniel Limberger
Physically-based Environment and Area Lighting using Progressive Rendering in WebGL. Web3D 2020: 15:1-15:9 - [i1]Anna Malinovskaya, Philipp Otto
Statistical learning for change point and anomaly detection in graphs. CoRR abs/2011.06080 (2020)
2010 – 2019
- 2019
- [j4]Philipp Otto
spGARCH: An R-Package for Spatial and Spatiotemporal ARCH and GARCH models. R J. 11(2): 401 (2019) - [c3]Robert Kovacs
TrussFormer: 3D Printing Large Kinetic Structures. CHI Extended Abstracts 2019 - 2018
- [j3]Robert Garthoff, Philipp Otto
Verfahren zur Überwachung räumlicher autoregressiver Prozesse mit externen Regressoren. AStA Wirtschafts und Sozialstatistisches Arch. 12(2): 107-133 (2018) - [c2]Robert Kovacs
TrussFormer: 3D Printing Large Kinetic Structures. UIST 2018: 113-125 - 2017
- [j2]Philipp Otto
A note on efficient simulation of multidimensional spatial autoregressive processes. Commun. Stat. Simul. Comput. 46(6): 4547-4558 (2017) - 2016
- [j1]Anna-Liesa Lange, Philipp Otto
Bayes'sche Statistik in der Dienstleistungsforschung. AStA Wirtschafts und Sozialstatistisches Arch. 10(4): 247-267 (2016) - 2013
- [c1]Philipp Otto, Norbert Schlager-Weidinger:
Public Sector Performance Management: Evaluating the Organisational Outcome of a Business Intelligence Based Budget Information System in the Context of a Federal Ministry. ERP Future 2013: 263-271
Coauthor Index
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