84 citations · 134 across the 15 of their papers we have counts for
7 papers · 1 filter
Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success
Richard Scalzo, David Kohn, Hugo Olierook +4
The rigorous quantification of uncertainty in geophysical inversions is a challenging problem. Inversions are often ill-posed and the likelihood surface may be multi-modal; propert…
Langevin-gradient parallel tempering for Bayesian neural learning
Rohitash Chandra, Konark Jain, Ratneel V. Deo +1
Bayesian neural learning feature a rigorous approach to estimation and uncertainty quantification via the posterior distribution of weights that represent knowledge of the neural n…
Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics
Jodie Pall, Rohitash Chandra, Danial Azam +4
Estimating the impact of environmental processes on vertical reef development in geological time is a very challenging task. pyReef-Core is a deterministic carbonate stratigraphic…
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…
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…
A comparison of methods for modeling marginal non-zero daily rainfall across the Australian continent
Michael Bertolacci, Edward Cripps, Ori Rosen +1
Naveau et al. (2016) have recently developed a class of methods, based on extreme-value theory (EVT), for capturing low, moderate, and heavy rainfall simultaneously, without the ne…
Irreproducibility; Nothing is More Predictable
David Kohn, Nick Glozier, Ian B. Hickie +2
The increasing ease of data capture and storage has led to a corresponding increase in the choice of data, the type of analysis performed on that data, and the complexity of the an…