Select Publications
Preprints
2021, Cell graph neural networks enable the digital staging of tumor microenvironment and precise prediction of patient survival in gastric cancer, , http://dx.doi.org/10.1101/2021.09.01.21262086
,2020, A Markov chain method for weighting climate model ensembles, , http://dx.doi.org/10.5194/gmd-2020-253
,2019, A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models, , http://dx.doi.org/10.48550/arxiv.1909.02736
,2017, Noncrossing simultaneous Bayesian quantile curve fitting, , http://dx.doi.org/10.48550/arxiv.1711.09317
,2016, ABC in Nuclear Imaging, , http://dx.doi.org/10.48550/arxiv.1607.08678
,2016, Pyramid quantile regression, , http://dx.doi.org/10.48550/arxiv.1606.05407
,2015, Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model, , http://dx.doi.org/10.48550/arxiv.1504.04093
,2014, A Bayesian spatial temporal mixtures approach to kinetic parametric images in dynamic Positron Emission Tomography, , http://dx.doi.org/10.48550/arxiv.1409.7454
,2012, Simultaneous adjustment of bias and coverage probabilities for confidence intervals, , http://dx.doi.org/10.48550/arxiv.1210.3405
,2010, Bayesian Symbol Detection in Wireless Relay Networks via Likelihood-Free Inference, , http://dx.doi.org/10.48550/arxiv.1007.4603
,2009, On Bayesian Curve Fitting Via Auxiliary Variables, , http://dx.doi.org/10.48550/arxiv.0911.1894
,Likelihood-Free Bayesian Inference for -Stable Models, , http://dx.doi.org/10.2139/ssrn.2980440
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