Articles | Volume 5, issue 2
https://doi.org/10.5194/se-5-631-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-5-631-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Method article
| 
04 Jul 2014
Method article |
| 04 Jul 2014
Modelling complex geological circular data with the projected normal distribution and mixtures of von Mises distributions
R. M. Lark
British Geological Survey, Keyworth, Nottingham, UK
D. Clifford
CSIRO Computational Informatics, Ecoscience Precinct, G.P.O. Box 2583, Brisbane, Qld 4001, Australia
C. N. Waters
British Geological Survey, Keyworth, Nottingham, UK
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- Semiparametric inference for mixtures of circular data C. Lacour & T. Pham Ngoc https://doi.org/10.1214/22-EJS2024
- Sec-G Class of Distributions: Properties and Applications L. Souza et al. https://doi.org/10.3390/sym14020299
- Environmental contours for circular‐linear variables based on the direct sampling method E. Vanem et al. https://doi.org/10.1002/we.2442
- Modelling wind direction data of Langkawi Island during Southwest monsoon in 2019 to 2020 using bivariate linear functional relationship model with von Mises distribution N. Mokhtar et al. https://doi.org/10.1088/1742-6596/1988/1/012097
- A new measure of preferred direction for circular data using angular wrapping Ö. TEZEL et al. https://doi.org/10.31801/cfsuasmas.1159269
- Projected random forests and conformal prediction of circular data P. Marques F. et al. https://doi.org/10.1016/j.knosys.2026.116772
- Semi-automated component identification of a complex fracture network using a mixture of von Mises distributions: Application to the Ardeche margin (South-East France) A. Chabani et al. https://doi.org/10.1016/j.cageo.2020.104435
- Receiver orientation and event back-azimuth estimation for downhole microseismic monitoring using a probabilistic method based on P-wave polarization Z. Yu et al. https://doi.org/10.3389/feart.2022.1027216
- Characterization of the diurnal cycle of maximum rainfall in tropical cyclones M. Rios Gaona & G. Villarini https://doi.org/10.1016/j.jhydrol.2018.07.062
- Quantitative relationship between weather seasonality and rock fall occurrences north of Hope, BC, Canada C. Pratt et al. https://doi.org/10.1007/s10064-018-1358-7
- A random model of anisotropic hydraulic conductivity tailored to the InSAR-based analysis of aquifers S. Ghamsari et al. https://doi.org/10.1007/s00477-026-03223-0
- Modified Pólya-Gamma data augmentation for Bayesian analysis of directional data S. Pal & J. Gaskins https://doi.org/10.1080/00949655.2022.2067853
- Probabilistic inversion of circular phase spectra: application to two-station phase-velocity dispersion estimation in western Canada J. Gosselin et al. https://doi.org/10.1093/gji/ggac506
- Fracture Spacing Variability and the Distribution of Fracture Patterns in Granitic Geothermal Reservoir: A Case Study in the Noble Hills Range (Death Valley, CA, USA) A. Chabani et al. https://doi.org/10.3390/geosciences11120520
15 citations as recorded by crossref.
- STORM v.2: A simple, stochastic rainfall model for exploring the impacts of climate and climate change at and near the land surface in gauged watersheds M. Rios Gaona et al. https://doi.org/10.5194/gmd-17-5387-2024
- Semiparametric inference for mixtures of circular data C. Lacour & T. Pham Ngoc https://doi.org/10.1214/22-EJS2024
- Sec-G Class of Distributions: Properties and Applications L. Souza et al. https://doi.org/10.3390/sym14020299
- Environmental contours for circular‐linear variables based on the direct sampling method E. Vanem et al. https://doi.org/10.1002/we.2442
- Modelling wind direction data of Langkawi Island during Southwest monsoon in 2019 to 2020 using bivariate linear functional relationship model with von Mises distribution N. Mokhtar et al. https://doi.org/10.1088/1742-6596/1988/1/012097
- A new measure of preferred direction for circular data using angular wrapping Ö. TEZEL et al. https://doi.org/10.31801/cfsuasmas.1159269
- Projected random forests and conformal prediction of circular data P. Marques F. et al. https://doi.org/10.1016/j.knosys.2026.116772
- Semi-automated component identification of a complex fracture network using a mixture of von Mises distributions: Application to the Ardeche margin (South-East France) A. Chabani et al. https://doi.org/10.1016/j.cageo.2020.104435
- Receiver orientation and event back-azimuth estimation for downhole microseismic monitoring using a probabilistic method based on P-wave polarization Z. Yu et al. https://doi.org/10.3389/feart.2022.1027216
- Characterization of the diurnal cycle of maximum rainfall in tropical cyclones M. Rios Gaona & G. Villarini https://doi.org/10.1016/j.jhydrol.2018.07.062
- Quantitative relationship between weather seasonality and rock fall occurrences north of Hope, BC, Canada C. Pratt et al. https://doi.org/10.1007/s10064-018-1358-7
- A random model of anisotropic hydraulic conductivity tailored to the InSAR-based analysis of aquifers S. Ghamsari et al. https://doi.org/10.1007/s00477-026-03223-0
- Modified Pólya-Gamma data augmentation for Bayesian analysis of directional data S. Pal & J. Gaskins https://doi.org/10.1080/00949655.2022.2067853
- Probabilistic inversion of circular phase spectra: application to two-station phase-velocity dispersion estimation in western Canada J. Gosselin et al. https://doi.org/10.1093/gji/ggac506
- Fracture Spacing Variability and the Distribution of Fracture Patterns in Granitic Geothermal Reservoir: A Case Study in the Noble Hills Range (Death Valley, CA, USA) A. Chabani et al. https://doi.org/10.3390/geosciences11120520
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