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Renate Meyer
Renate Meyer
Professor of Statistics, University of Auckland
Verified email at stat.auckland.ac.nz - Homepage
Title
Cited by
Cited by
Year
BUGS for a Bayesian analysis of stochastic volatility models
R Meyer, J Yu
The Econometrics Journal 3 (2), 198-215, 2000
3512000
BUGS in Bayesian stock assessments
R Meyer, RB Millar
Canadian Journal of Fisheries and Aquatic Sciences 56 (6), 1078-1087, 1999
3271999
Deviance information criterion for comparing stochastic volatility models
A Berg, R Meyer, J Yu
Journal of Business & Economic Statistics 22 (1), 107-120, 2004
3262004
Bayesian methods for cosmological parameter estimation from cosmic microwave background measurements
N Christensen, R Meyer, L Knox, B Luey
Classical and Quantum Gravity 18 (14), 2677, 2001
2652001
Multivariate stochastic volatility models: Bayesian estimation and model comparison
J Yu, R Meyer
Econometric Reviews 25 (2-3), 361-384, 2006
2352006
Non-linear state space modelling of fisheries biomass dynamics by using Metropolis-Hastings within-Gibbs sampling
RB Millar, R Meyer
Journal of the Royal Statistical Society Series C: Applied Statistics 49 (3 …, 2000
2352000
Bayesian stock assessment using a state–space implementation of the delay difference model
R Meyer, RB Millar
Canadian Journal of Fisheries and Aquatic Sciences 56 (1), 37-52, 1999
2011999
Bayesian state-space modeling of age-structured data: fitting a model is just the beginning
RB Millar, R Meyer
Canadian Journal of Fisheries and Aquatic Sciences 57 (1), 43-50, 2000
1642000
Parameter estimation of spinning binary inspirals using Markov chain Monte Carlo
M Van Der Sluys, V Raymond, I Mandel, C Röver, N Christensen, ...
Classical and Quantum Gravity 25 (18), 184011, 2008
1532008
Gravitational-wave astronomy with inspiral signals of spinning compact-object binaries
MV Van Der Sluys, C Röver, A Stroeer, V Raymond, I Mandel, ...
The Astrophysical Journal 688 (2), L61, 2008
1262008
Age at first marriage in Malawi: a Bayesian multilevel analysis using a discrete time‐to‐event model
S Manda, R Meyer
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2005
1132005
Bayesian reconstruction of chaotic dynamical systems
R Meyer, N Christensen
Physical Review E 62 (3), 3535, 2000
992000
Bayesian inference on compact binary inspiral gravitational radiation signals in interferometric data
C Röver, R Meyer, N Christensen
Classical and Quantum Gravity 23 (15), 4895, 2006
912006
Using Markov chain Monte Carlo methods for estimating parameters with gravitational radiation data
N Christensen, R Meyer
Physical Review D 64 (2), 022001, 2001
872001
Coherent Bayesian inference on compact binary inspirals using a network of interferometric gravitational wave detectors
C Röver, R Meyer, N Christensen
Physical Review D 75 (6), 062004, 2007
852007
Bayesian modeling of source confusion in LISA data
R Umstätter, N Christensen, M Hendry, R Meyer, V Simha, J Veitch, ...
Physical Review D 72 (2), 022001, 2005
782005
Markov chain Monte Carlo methods for Bayesian gravitational radiation data analysis
N Christensen, R Meyer
Physical Review D 58 (8), 082001, 1998
731998
Report on the second Mock LISA data challenge
S Babak, JG Baker, MJ Benacquista, NJ Cornish, J Crowder, C Cutler, ...
Classical and Quantum Gravity 25 (11), 114037, 2008
672008
Bayesian reconstruction of gravitational wave burst signals from simulations of rotating stellar core collapse and bounce
C Röver, MA Bizouard, N Christensen, H Dimmelmeier, IS Heng, R Meyer
Physical Review D 80 (10), 102004, 2009
652009
A Bayesian approach to the ecosystem inverse problem
M Dowd, R Meyer
Ecological modelling 168 (1-2), 39-55, 2003
592003
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