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"A new OSL dose model to account for post-depositional mixing of sedime" by Luke A. Yates, Zach Aandahl et al.

In applications of optically stimulated luminescence (OSL) dating to unconsolidated sediments, the burial age of a sample of grains is estimated using statistical models of the distribution of the experimentally determined equivalent doses of the grains, together with estimates of the environmental dose rate. For grains that have been vertically mixed after deposition (e.g., due to bioturbation), existing dose models may fail to appropriately account for the complexity of the mixing process, thus producing inaccurate age estimates of the original time of deposition of the ‘native’ grains in any particular sample (usually the quantity of most interest). Here we introduce a new dose model, the asymmetric Laplacian mixture model (ALMM), developed for vertically mixed samples with single-grain dose distributions. The approach is based on a continuous statistical mixture that models the displacement of grains in both upward and downward directions. The central dose of the native grains ....

Monte Carlo , Nawarla Gabarnmang , Hamiltonian Monte Carlo , Asymmetric Laplacian Mixture Model , Bayesian Inference , Maximum Likelihood Estimation , Optically Stimulated Luminescence , Ingle Grain Dose Distributions , Ertical Mixing Of Sediments ,

New Risk Management Findings from University of the Free State Described (The Generalised Pareto Distribution Model Approach to Comparing Extreme Risk in the Exchange Rate Risk of BitCoin/US Dollar and South African Rand/US Dollar Returns): Insurance - Risk Management - Insurance News

New Risk Management Findings from University of the Free State Described (The Generalised Pareto Distribution Model Approach to Comparing Extreme Risk in the Exchange Rate Risk of BitCoin/US Dollar and South African Rand/US Dollar Returns): Insurance - Risk Management - Insurance News
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