J
Jan Dettmer
Researcher at University of Calgary
Publications - 115
Citations - 1767
Jan Dettmer is an academic researcher from University of Calgary. The author has contributed to research in topics: Seabed & Inversion (meteorology). The author has an hindex of 22, co-authored 103 publications receiving 1429 citations. Previous affiliations of Jan Dettmer include Australian National University & University of Victoria.
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Trans-dimensional geoacoustic inversion
TL;DR: This paper develops a general trans-dimensional Bayesian methodology for geoacoustic inversion that results in environmental estimates that quantify appropriate seabed structure as supported by the data, allowing sharp discontinuities while approximating smooth transitions where needed.
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Trans-dimensional matched-field geoacoustic inversion with hierarchical error models and interacting Markov chains
Jan Dettmer,Stan E. Dosso +1 more
TL;DR: The trans-dimensional seabed model and the hierarchical error model relax the degree of prior assumptions required in the inversion, resulting in substantially improved uncertainty estimates and a more automated algorithm.
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Efficient trans-dimensional Bayesian inversion for geoacoustic profile estimation
TL;DR: In this article, the authors considered the efficiency of trans-dimensional (trans-D) Bayesian inversion based on reversible-jump Markov chain Monte Carlo (rjMCMC) sampling, with application to geophysical inverse problems for a depth-dependent earth or seabed model of an unknown number of layers.
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Trans-dimensional finite-fault inversion
TL;DR: In this article, a probabilistic Bayesian approach is developed to infer the spatiotemporal evolution of earthquake rupture on a fault surface from seismic data with rigorous uncertainty estimation.
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Trans-dimensional inversion of microtremor array dispersion data with hierarchical autoregressive error models
Jan Dettmer,Sheri Molnar,Sheri Molnar,Gavin Steininger,Stan E. Dosso,John F. Cassidy,John F. Cassidy +6 more
TL;DR: In this article, the authors apply a general trans-dimensional Bayesian inference methodology and hierarchical autoregressive data-error models to the inversion of microtremor array dispersion data for shear wave velocity (vs) structure.