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
,2018, Accounting for Skill in Trend, Variability, and Autocorrelation Facilitates Better Multi-Model Projections: Application to the AMOC and Temperature Time Series, http://dx.doi.org/10.48550/arxiv.1811.03192
,2018, High-dimensional ABC, http://dx.doi.org/10.48550/arxiv.1802.09725
,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, Approximate Bayesian Computation via Regression Density Estimation, http://dx.doi.org/10.48550/arxiv.1212.1479
,2012, Simultaneous adjustment of bias and coverage probabilities for confidence intervals, http://dx.doi.org/10.48550/arxiv.1210.3405
,2011, Approximate Bayesian computation and Bayes linear analysis: Towards high-dimensional ABC, http://dx.doi.org/10.48550/arxiv.1112.4755
,2010, Bayesian Symbol Detection in Wireless Relay Networks via Likelihood-Free Inference, http://dx.doi.org/10.48550/arxiv.1007.4603
,2010, Adaptive Optimal Scaling of Metropolis-Hastings Algorithms Using the Robbins-Monro Process, http://dx.doi.org/10.48550/arxiv.1006.3690
,2010, A note on target distribution ambiguity of likelihood-free samplers, http://dx.doi.org/10.48550/arxiv.1005.5201
,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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