N. P. Agostinetti and A. Malinverno, Receiver function inversion by trans-dimensional Monte Carlo sampling, Geophysical Journal International, vol.181, pp.858-872, 2010.
DOI : 10.1111/j.1365-246X.2010.04530.x

T. Bodin and M. Sambridge, Seismic tomography with the reversible jump algorithm, Geophysical Journal International, vol.178, issue.3, pp.1411-1436, 2009.
DOI : 10.1111/j.1365-246X.2009.04226.x

T. Bodin, M. Sambridge, N. Rawlinson, and P. Arroucau, Transdimensional tomography with unknown data noise, Geophysical Journal International, vol.189, issue.3, pp.1536-1556, 2012.
DOI : 10.1111/j.1365-246X.2012.05414.x

T. Bodin, M. Sambridge, H. Tkalcic, P. Arroucau, K. Gallagher et al., Transdimensional inversion of receiver functions and surface wave dispersion, Journal of Geophysical Research: Solid Earth, vol.125, issue.2, pp.10-1029, 2012.
DOI : 10.1029/2005JB004130

URL : https://hal.archives-ouvertes.fr/insu-00675232

P. A. Cawood, S. A. Pisarevsky, and E. C. Leitch, Unraveling the New England orocline, east Gondwana accretionary margin, Tectonics, vol.383, issue.6, pp.10-1029, 2011.
DOI : 10.1029/2011TC002864

K. Charvin, K. Gallagher, G. L. Hampson, and R. Labourdette, A Bayesian approach to inverse modelling of stratigraphy, part 1: Method: Basin Research, pp.5-25, 2009.

D. G. Denison, C. C. Holmes, B. K. Mallick, and A. F. Smith, Baysian methods for nonlinear classification and regression, 2002.

J. T. Dewan, Modern open-hole log interpretation, 1983.

S. E. Dosso and J. Dettmer, Bayesian matched-field geoacoustic inversion, Inverse Problems, vol.27, issue.5, 2011.
DOI : 10.1088/0266-5611/27/5/055009

P. K. Fullagar, B. Zhou, and G. N. Fallon, AUTOMATED INTERPRETATION OF GEOPHYSICAL BOREHOLE LOGS FOR OREBODY DELINEATION AND GRADE ESTIMATION, Mineral Resources Engineering, vol.08, issue.03, pp.269-284, 1999.
DOI : 10.1142/S095060989900027X

K. Gallagher, Transdimensional inverse thermal history modeling for quantitative thermochronology, Journal of Geophysical Research: Solid Earth, vol.297, issue.3, pp.10-1029, 2012.
DOI : 10.2475/ajs.297.10.939

URL : https://hal.archives-ouvertes.fr/insu-00676497

. Large, Inference of abrupt changes in noisy geochemical records using transdimensional changepoint models: Earth and Planetary Science Letters, pp.182-194, 2011.

A. Gelman, J. Carlin, H. Stern, and D. Rubin, Bayesian data analysis, 2004.

R. A. Glen, P. T. Vaughan, R. J. Leat, and . Pankhurst, The Tasmanides of eastern Australia, Terrance processes at the margins of Gondwana, pp.23-96, 2005.
DOI : 10.1144/GSL.SP.2005.246.01.02

P. J. Green, Reversible jump Markov chain Monte Carlo computation and Bayesian model determination, Biometrika, vol.82, issue.4, pp.711-732, 1995.
DOI : 10.1093/biomet/82.4.711

R. W. Guo, S. E. Dosso, J. X. Liu, J. Dettmer, and X. Z. Tong, Non-linearity in Bayesian 1-D magnetotelluric inversion, Geophysical Journal International, vol.185, issue.2, pp.663-675, 2011.
DOI : 10.1111/j.1365-246X.2011.04996.x

D. A. Henstridge and A. C. Hutton, Geology and organic petrography of the Nagoorin oil shale deposit, Fuel, vol.66, issue.3, pp.301-304, 1987.
DOI : 10.1016/0016-2361(87)90082-2

P. O. Hopcroft, K. Gallagher, and C. C. Pain, A Bayesian partition modelling approach to resolve spatial variability in climate records from borehole temperature inversion, Geophysical Journal International, vol.178, issue.2, pp.651-666, 2009.
DOI : 10.1111/j.1365-246X.2009.04192.x

URL : https://hal.archives-ouvertes.fr/insu-00424558

S. Howe, Deriving rock thermal properties from wireline well logs and comparisons to values measured on drill core: Honours thesis, 2009.

A. Jasra, D. A. Stephens, K. Gallagher, and C. C. Holmes, Bayesian Mixture Modelling in Geochronology via Markov Chain Monte Carlo, Mathematical Geology, vol.224, issue.1, pp.269-300, 2006.
DOI : 10.1007/s11004-005-9019-3

E. T. Jaynes, Probability theory, the logic of science, 2003.

W. H. Jefferys and J. O. Berger, Ockham's razor and Bayesian analysis, American Scientist, vol.80, pp.64-72, 1992.

J. Labo, A practical introduction to borehole geophysics: SEG, 1987.
DOI : 10.1190/1.9781560802587

Y. G. Li and D. W. Oldenburg, 3-D inversion of gravity data: Geophysics, pp.109-119, 1998.

Y. G. Li and D. W. Oldenburg, 3-D inversion of induced polarization data, GEOPHYSICS, vol.65, issue.6, 1931.
DOI : 10.1190/1.1444877

M. H. Loke and R. D. Barker, Practical techniques for 3D resistivity surveys and data inversion: Geophysical Prospecting, pp.499-523, 1996.
DOI : 10.1111/j.1365-2478.1996.tb00162.x

M. H. Loke, P. B. Wilkinson, and J. E. Chambers, Parallel computation of optimized arrays for 2-D electrical imaging surveys, Geophysical Journal International, vol.183, issue.3, pp.1302-1315, 2010.
DOI : 10.1111/j.1365-246X.2010.04796.x

D. J. Mackay, Bayesian interpolation: Neural Computation, pp.415-447, 1992.

A. Malinverno, Parsimonious Bayesian Markov chain Monte Carlo inversion in a nonlinear geophysical problem, Geophysical Journal International, vol.151, issue.3, pp.675-688, 2002.
DOI : 10.1046/j.1365-246X.2002.01847.x

A. Malinverno and V. A. Briggs, Expanded uncertainty quantification in inverse problems: Hierarchical Bayes and empirical Bayes, GEOPHYSICS, vol.69, issue.4, pp.1005-1016, 2004.
DOI : 10.1190/1.1778243

A. Malinverno and W. S. Leaney, Monte-Carlo Bayesian look-ahead inversion of walkaway vertical seismic profiles, Geophysical Prospecting, vol.20, issue.5, pp.689-703, 2005.
DOI : 10.1190/1.1441745

A. Malinverno and R. Parker, Two ways to quantify uncertainty in geophysical inverse problems, GEOPHYSICS, vol.71, issue.3, pp.15-27, 2006.
DOI : 10.1190/1.2194516

C. G. Murray and P. R. Blake, Geochemical discrimination of tectonic setting for Devonian basalts of the Yarrol Province of the New England Orogen, central coastal Queensland: An empirical approach *, Australian Journal of Earth Sciences, vol.98, issue.6, pp.993-1034, 2005.
DOI : 10.1093/petrology/44.8.1349

. Petrolog, Advanced log analysis software, http://petrolog.net, accessed 15, 2008.

G. Roberts and J. Rosenthal, Optimal scaling for various Metropolis-Hastings algorithms, Statistical Science, vol.16, issue.4, pp.351-367, 2001.
DOI : 10.1214/ss/1015346320

M. Sambridge, Geophysical inversion with a neighbourhood algorithm-II. Appraising the ensemble, Geophysical Journal International, vol.138, issue.3, pp.727-746, 1999.
DOI : 10.1046/j.1365-246x.1999.00900.x

M. Sambridge, K. Gallagher, A. Jackson, and P. Rickwood, Trans-dimensional inverse problems, model comparison and the evidence, Geophysical Journal International, vol.167, issue.2, pp.528-542, 2006.
DOI : 10.1111/j.1365-246X.2006.03155.x

M. K. Sen and P. L. Stoffa, Rapid sampling of model space using genetic algorithms: examples from seismic waveform inversion, Geophysical Journal International, vol.108, issue.1, pp.281-292, 1992.
DOI : 10.1111/j.1365-246X.1992.tb00857.x

D. S. Sivia, Data analysis: A Bayesian tutorial, 1996.

M. A. Slater, Appraisal of the enhanced geothermal system potential of the Nagoorin Graben, 2009.

P. L. Stoffa and M. K. Sen, Nonlinear multiparameter optimisation using genetic algorithms: Inversion of plane-wave seismograms: Geophysics, pp.1794-1810, 1991.

A. Tarantola and B. Valette, Inverse problems = quest for information, Journal of Geophysics, vol.50, pp.159-170, 1982.

Z. Wu, N. E. Huang, S. R. Long, and C. K. Peng, On the trend, detrending, and variability of nonlinear and nonstationary time series, Proceedings of the National Academy of Sciences of the United States of America, pp.14889-14894, 2007.
DOI : 10.1073/pnas.0701020104

H. Yamanaka and H. Ishida, Application of genetic algorithms to an inversion of surface-wave dispersion data: Bulletin of the, pp.436-444, 1996.

C. A. Zelt and P. J. Barton, Three-dimensional seismic refraction tomography: A comparison of two methods applied to data from the Faeroe Basin, Journal of Geophysical Research: Solid Earth, vol.108, issue.B4, pp.7187-7210, 1998.
DOI : 10.1029/97JB03536