84 citations · 134 across the 15 of their papers we have counts for
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physics.geo-ph2018★ 14 cited
Multi-core parallel tempering Bayeslands for basin and landscape evolution
Rohitash Chandra, R. Dietmar Müller, Danial Azam +4
The Bayesian paradigm is becoming an increasingly popular framework for estimation and uncertainty quantification of unknown parameters in geo-physical inversion problems. Badlands…
physics.geo-ph2018★ 26 cited
Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands
Rohitash Chandra, Danial Azam, R. Dietmar Müller +2
Bayesian inference provides a rigorous methodology for estimation and uncertainty quantification of parameters in geophysical forward models. Badlands (basin and landscape dynamics…