Research output per year
Research output per year
Personal profile
Research interests
My research considers the analysis of environmental and financial data. I am also interested in the development of methodology in extreme value analysis, spatial statistics and nonparametric regression. Past projects include the analysis of property insurance claims and flood risk analysis.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Statistics and Operational Research, Doctor of Philosophy, Lancaster University
Fingerprint
Dive into the research topics where Christian Rohrbeck is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Bayesian non-parametric ordinal regression under a monotonicity constraint
Saarela, O., Rohrbeck, C. & Arjas, E., 31 Mar 2023, In: Bayesian Analysis. 18, 1, p. 193-221 29 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
Christian Rohrbeck’s contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of climate change’
Rohrbeck, C., 16 Jun 2023, In: Journal of the Royal Statistical Society: Series C - Applied Statistics. 1 p.Research output: Contribution to journal › Comment/debate
Open Access -
Simulating flood event sets using extremal principal components
Rohrbeck, C. & Cooley, D., 1 Jun 2023, In: Annals of Applied Statistics. 17, 2, p. 1333-1352 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (SciVal)2 Downloads (Pure) -
A spatio-temporal model for Red Sea surface temperature anomalies
Rohrbeck, C., Simpson, E. & Towe, R., Mar 2021, In: Extremes. 24, 1, p. 129-144Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
Bayesian spatial clustering of extremal behaviour for hydrological variables
Rohrbeck, C. & Tawn, J., 31 Mar 2021, In: Journal of Computational and Graphical Statistics. 30, 1, p. 91-105Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (SciVal)26 Downloads (Pure)