By Professor Yanan Fan

Preprints

Wang Y; Wang YG; Hu C; Li M; Fan Y; Otter N; Sam I; Gou H; Hu Y; Kwok T; Zalcberg J; Boussioutas A; Daly RJ; Montúfar G; Liò P; Xu D; Webb GI; Song J, 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

Kulinich M; Fan Y; Penev S; Evans JP, 2020, A Markov chain method for weighting climate model ensembles, http://dx.doi.org/10.5194/gmd-2020-253

Yi K; Guo Y; Fan Y; Hamann J; Wang YG, 2020, CosmoVAE: Variational Autoencoder for CMB Image Inpainting, http://arxiv.org/abs/2001.11651v1

Grazian C; Fan Y, 2019, A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models, http://dx.doi.org/10.48550/arxiv.1909.02736

Olson R; An S-I; Fan Y; Evans JP, 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

Nott DJ; Ong VM-H; Fan Y; Sisson SA, 2018, High-dimensional ABC, http://dx.doi.org/10.48550/arxiv.1802.09725

Rodrigues T; Dortet-Bernadet J-L; Fan Y, 2017, Noncrossing simultaneous Bayesian quantile curve fitting, http://dx.doi.org/10.48550/arxiv.1711.09317

Fan Y; Meikle SR; Angelis G; Sitek A, 2016, ABC in Nuclear Imaging, http://dx.doi.org/10.48550/arxiv.1607.08678

Rodrigues T; Dortet-Bernadet J-L; Fan Y, 2016, Pyramid quantile regression, http://dx.doi.org/10.48550/arxiv.1606.05407

Li J; Nott DJ; Fan Y; Sisson SA, 2015, Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model, http://dx.doi.org/10.48550/arxiv.1504.04093

Zhu W; Ouyang J; Rakvongthai Y; Guehl NJ; Wooten DW; Fakhri GE; Normandin MD; Fan Y, 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

Fan Y; Nott DJ; Sisson SA, 2012, Approximate Bayesian Computation via Regression Density Estimation, http://dx.doi.org/10.48550/arxiv.1212.1479

Menendez P; Fan Y; Garthwaite PH; Sisson SA, 2012, Simultaneous adjustment of bias and coverage probabilities for confidence intervals, http://dx.doi.org/10.48550/arxiv.1210.3405

Nott DJ; Fan Y; Marshall L; Sisson SA, 2011, Approximate Bayesian computation and Bayes linear analysis: Towards high-dimensional ABC, http://dx.doi.org/10.48550/arxiv.1112.4755

Peters GW; Nevat I; Sisson SA; Fan Y; Yuan J, 2010, Bayesian Symbol Detection in Wireless Relay Networks via Likelihood-Free Inference, http://dx.doi.org/10.48550/arxiv.1007.4603

Garthwaite PH; Fan Y; Sisson SA, 2010, Adaptive Optimal Scaling of Metropolis-Hastings Algorithms Using the Robbins-Monro Process, http://dx.doi.org/10.48550/arxiv.1006.3690

Sisson SA; Peters GW; Briers M; Fan Y, 2010, A note on target distribution ambiguity of likelihood-free samplers, http://dx.doi.org/10.48550/arxiv.1005.5201

Fan Y; Dortet-Bernadet J-L; Sisson SA, 2009, On Bayesian Curve Fitting Via Auxiliary Variables, http://dx.doi.org/10.48550/arxiv.0911.1894

Peters G; Sisson S; Fan Y, Likelihood-Free Bayesian Inference for -Stable Models, http://dx.doi.org/10.2139/ssrn.2980440

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