Associate Professor Renate Meyer

MSc/PhD (University of Aachen)

Associate Professor

In: Statistics » Faculty of Science

Biography

Research scientist in the Department of Medical Statistics of the University of Aachen from 1988-1993
Lecturer at the University of Auckland since 1994

Research | Current

Bayesian statistics
Markov chain Monte Carlo methods
Survival analysis, multiple events, non-and semi-parametric models
copulas
Astrophysics, gravity waves, cosmic microwave background radiation
State-space modelling
Fisheries statistics
Econometrics, financial time series, stochastic volatility models
Longitudinal data analysis, dynamic and semiparametric models

Past research interests

multivariate analysis
matrix methods for statistics
algorithms in multidimensional scaling
correspondence analysis

Teaching | Current

Office Hours

Wednesday 4-5pm

Thursday 4-5pm

Postgraduate supervision

Postdoctoral Research Fellows

Dr Samuel Manda (2000-2002)
Dr Katherine Everard (2008-2010)
Dr Jose S. Romeo Nunez (2012-2015)
Dr Patricio Maturana Russel (2018-2019)

Current PhD students

Alexander Meier, Thesis topic: "Beyond Whittle’s likelihood - new Bayesian semiparametric approaches to multivariate time series analysis" (2016- )
Matthew Edwards Thesis topic:"Bayesian strategies for supernovae core-collapse data analysis" (2013-2017)
Bo Cai, Thesis topic: "Adaptive Sampling Schemes and Bayesian Semiparametric Survival Analysis" (1999-2003)
Andreas Berg, Thesis topic: "Bayesian Analysis of Stochastic Volatility Models for Financial Time Series" (2000-2004)
Richard Umstaetter, Thesis topic: "Bayesian Strategies for Gravitational Radiation Data Analysis" (2003-2006)
Christian Roever, Thesis topic: "Bayesian Inference on Astrophysical Binary Inspirals Based on Gravitational-Wave Measurements" (2004-2007)
Asad Ali , Thesis topic: "Monte Carlo Methods for LISA Data Analysis" (2007-2011)
Jonathan Briggs , Thesis topic: "Bayesian state space modelling for data assimilation in phytoplankton ecosystems" (2007-2011)

Distinctions/Honours

Springorum Denkmunze, Postgraduate Award of the University of Aachen (1988)
Borchers Plakette, Postdoctoral Award of the University of Aachen (1994)

Responsibilities

Graduate Officer for PhD

Areas of expertise

Bayesian inference, MCMC, copulas, state-space models, survival analysis, gravitational radiation data analysis, stochastic volatility models

Committees/Professional groups/Services

Associate Editor Journal of Statistical Computation and Simulation

Faculty of Science Staffing Committee

Selected publications and creative works (Research Outputs)

Gallardo, D. I., Romeo, J. R., & Meyer, R. (2017). A simplified estimation procedure based on the EM algorithm for the power series cure rate model. Communications in Statistics - Simulation and Computation, 46 (8), 6342-6359. 10.1080/03610918.2016.1202276
Meyer, R., & Christensen, N. (2016). Gravitational waves: A statistical autopsy of a black hole merger. Significance, 13 (2), 20-25. 10.1111/j.1740-9713.2016.00896.x
URL: http://hdl.handle.net/2292/28641
Meyer, R., & Romeo, J. S. (2015). Bayesian semiparametric analysis of recurrent failure time data using copulas. Biometrical Journal, 57 (6), 982-1001. 10.1002/bimj.201400125
Manda, S., Masenyetse, L., Cai, B., & Meyer, R. (2015). Mapping HIV prevalence using population and antenatal sentinel-based HIV surveys: A multi-stage approach. Population Health Metrics, 13 (1).10.1186/s12963-015-0055-z
URL: http://hdl.handle.net/2292/27703
Edwards, M., Meyer, R., & Christensen, N. L. (2015). Bayesian semiparametric power spectral density estimation with applications in gravitational wave data analysis. Physical Review D - Particles, Fields, Gravitation, and Cosmology, 92 (6).10.1103/PhysRevD.92.064011
URL: http://hdl.handle.net/2292/27698
Meyer, R., & Romeo, J. S. (2015). Bayesian semiparametric analysis of recurrent failure time data using copulas. Biometrical Journal10.1002/bimj.201400125
URL: http://hdl.handle.net/2292/26786
Romeo, J. S., Meyer, R., & Reyes-Lopez, F. E. (2014). Hierarchical failure time regression using mixtures for classification of the immune response of Atlantic salmon. Journal of Agricultural, Biological, and Environmental Statistics, 19 (4), 503-523. 10.1007/s13253-014-0188-8
URL: http://hdl.handle.net/2292/26404
Kauermann, G., & Meyer, R. (2014). Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas. Computational Statistics, 29 (1-2), 283-306. 10.1007/s00180-013-0454-1
URL: http://hdl.handle.net/2292/23959