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OLIVARES PULIDO German

Main Referenced Co-authors
TEFERLE, Felix Norman  (8)
HUNEGNAW, Addisu  (3)
Bogusz, Janusz (2)
Klos, Anna (2)
Bos, Machiel (1)
Main Referenced Keywords
GPS (2); MCMC (2); MLE (2); Time Series Analysis (2); Dilution of Precision (1);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (1)
Main Referenced Disciplines
Earth sciences & physical geography (8)
Computer science (1)

Publications (total 8)

The most downloaded
432 downloads
Olivares Pulido, G., & Teferle, F. N. (2013). A Bayesian Monte Carlo Markov Chain Method for Parameter Estimation of Fractional Differenced Gaussian Processes. IEEE Transactions on Signal Processing, 61 (9), 2405-2412. doi:10.1109/TSP.2013.2245658 https://hdl.handle.net/10993/461

The most cited

137 citations (Scopus®)

Gazeaux, J., Williams, S., King, M., Bos, M., Dach, R., Deo, M., Moore, A., Ostini, L., Petrie, E., Roggero, M., Teferle, F. N., Olivares Pulido, G., & Webb, F. H. (08 March 2013). Detecting offsets in GPS time series: First results from the detection of offsets in GPS experiment. Journal of Geophysical Research. Solid Earth, 118. doi:10.1002/jgrb.50152 https://hdl.handle.net/10993/14985

Olivares Pulido, G., Teferle, F. N., & Hunegnaw, A. (2020). Markov Chain Monte Carlo and the Application to Geodetic Time Series Analysis. In J.-P. Montillet & M. Bos, Geodetic Time Series Analysis in Earth Sciences (1st ed, pp. 53-138). Springer. doi:10.1007/978-3-030-21718-1_3

Klos, A., Olivares Pulido, G., Teferle, F. N., Hunegnaw, A., & Bogusz, J. (2017). On the combined effect of periodic signals and colored noise on velocity uncertainties. GPS Solutions. doi:10.1007/s10291-017-0674-x
Peer Reviewed verified by ORBi

Klos, A., Olivares Pulido, G., Teferle, F. N., Hunegnaw, A., & Bogusz, J. (05 April 2016). The Combined Effect of Periodic Signals and Noise on the Dilution of Precision of GNSS Station Velocity Uncertainties [Poster presentation]. EGU General Assembly 2015, Vienna, Austria, 17-22 April 2016, Vienna, Austria.

Olivares Pulido, G., & Teferle, F. N. (10 December 2013). A Comparison of Bayesian Monte Carlo Markov Chain and Maximum Likelihood Estimation Methods for the Statistical Analysis of Geodetic Time Series [Paper presentation]. American Geophysical Union Fall Meeting 2013, San Francisco, United States.

Olivares Pulido, G., & Teferle, F. N. (06 September 2013). A Bayesian Monte Carlo Markov Chain Method for the Statistical Analysis of Geodetic Time Series [Poster presentation]. International Association of Geodesy.

Olivares Pulido, G., & Teferle, F. N. (12 April 2013). A Bayesian Monte Carlo Markov Chain Method for the Analysis of GPS Position Time Series [Poster presentation]. European Geosciences Union General Assembly 2013.

Gazeaux, J., Williams, S., King, M., Bos, M., Dach, R., Deo, M., Moore, A., Ostini, L., Petrie, E., Roggero, M., Teferle, F. N., Olivares Pulido, G., & Webb, F. H. (08 March 2013). Detecting offsets in GPS time series: First results from the detection of offsets in GPS experiment. Journal of Geophysical Research. Solid Earth, 118. doi:10.1002/jgrb.50152
Peer reviewed

Olivares Pulido, G., & Teferle, F. N. (2013). A Bayesian Monte Carlo Markov Chain Method for Parameter Estimation of Fractional Differenced Gaussian Processes. IEEE Transactions on Signal Processing, 61 (9), 2405-2412. doi:10.1109/TSP.2013.2245658
Peer reviewed

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