Martin Roth is a statistician / data scientist with a passion for open source. He has a solid experience with statistical programming for more than 14 years.
Martin holds a PhD in statistics from Eindhoven University of Technology and a master in mathematics from Albert-Ludwigs-University in Germany. After his PhD Martin continued as PostDoc at KNMI.
Currently, he is working as a data scientist at Bosch - Blaichach Plant - mainly with process curves and image data. Prior to this he was analysing customer machine data and developing a data strategy at MULTIVAC.
While he is not working, he enjoys reading, hiking, learning languages and spending time with his family.
Feel free to connect Martin via Github or drop him an email.
Papers
- M. Roth, G. Jongbloed and TA. Buishand (2019): Monotone trends in the distribution of climate extremes
- M. Roth, G. Jongbloed and TA. Buishand (2016): Threshold selection for regional peaks-over-threshold data
- Z. Rulfová, TA. Buishand, M. Roth and J. Kyselý (2016): A two-component generalized extreme value distribution for precipitation frequency analysis
- M. Roth, TA. Buishand and G. Jongbloed (2015): Trends in moderate rainfall extremes - A regional monotone regression approach
- M. Roth, TA. Buishand, G. Jongbloed, A.M.G. Klein Tank and H. van Zanten (2014): Projections of precipitation extremes based on a regional, non-stationary peaks-over-threshold approach: A case study for the Netherlands and north-western Germany
- M. Roth, TA. Buishand, G. Jongbloed, A.M.G. Klein Tank and H. van Zanten (2012): A regional peaks-over-threshold model in a nonstationary climate