Select Publications

Journal articles

Peters GW; Sisson SA; Fan Y, 2012, 'Likelihood-free Bayesian inference for alpha-stable models', Computational Statistics and Data Analysis, 56, pp. 3743 - 3756, http://dx.doi.org/10.1016/j.csda.2010.10.004

Peters GW; Fan Y; Sisson SA, 2012, 'On sequential Monte Carlo, partial rejection control and approximate Bayesian computation', Statistics and Computing, 22, pp. 1209 - 1222, http://dx.doi.org/10.1007/s11222-012-9315-y

Peters GW; Nevat I; Sisson SA; Fan Y; Yuan J, 2010, 'Bayesian Symbol Detection in Wireless Relay Networks via Likelihood-Free Interference', IEEE Transactions on Signal Processing, 58, pp. 5206 - 5218

Fan Y; Dortet-Bernadet J; Sisson SA, 2010, 'On Bayesian curve fitting via auxiliary variables', Journal of Computational and Graphical Statistics, 19, pp. 626 - 644, http://dx.doi.org/10.1198/jcgs.2010.08178

Sisson SA; Fan Y; Tanaka MM, 2009, 'Sequential Monte Carlo without likelihoods (Proceedings of the National Academy of Sciences of the United States of America (2007) 104, 6, (1760-1765) DOI:10.1073/pnas.0607208104)', Proceedings of the National Academy of Sciences of the United States of America, 106, pp. 16889, http://dx.doi.org/10.1073/pnas.0908847106

Fan Y; Peters GW; Sisson SA, 2009, 'Automating and evaluating reversible jump MCMC proposal distributions', Statistics and Computing, 19, pp. 409 - 421, http://dx.doi.org/10.1007/s11222-008-9101-z

Sisson SA; Fan Y, 2009, 'Towards automating model selection for a mark-recapture-recovery analysis', Journal of the Royal Statistical Society Series C - Applied Statistics, 58, pp. 247 - 266

Fan Y; Leslie DS; Wand MP, 2008, 'Generalised linear mixed model analysis via sequential Monte Carlo sampling', Electronic Journal of Statistics, 2, pp. 916 - 938

Sisson SA; Fan Y, 2007, 'A distance-based diagnostic for trans-dimensional Markov chains', Statistics and Computing, 17, pp. 357 - 367

Sisson SA; Fan Y; Tanaka M, 2007, 'Sequential Monte Carlo without likelihoods', Proceedings of the National Academy of Sciences of the United States of America, 104, pp. 1760 - 1765

Fan Y; Gelman A; Brooks S, 2006, 'Output assessment for Monte Carlo simulations via the score statistic', Journal of Computational and Graphical Statistics, 15, pp. 178 - 206

Brooks S; Fan Y; Rosenthal J; Brooks , 2006, 'Perfect forward simulation via simulated tempering', Communications in Statistics - Simulation and Computation, 35, pp. 683 - 713

Hall PH; Hyndman RJ; Fan Y, 2004, 'Nonparametric confidence intervale for receiver operating characteristic curves', Biometrika, 91, pp. 743 - 750

Catchpole EA; Fan Y; Morgan BJ; Clutton-Brock TH; Coulson TN, 2004, 'Sexual dimorphism, survival and dispersal in red deer', Journal of Agricultural Biological and Environmental Statistics, 9, pp. 1 - 26

Fan Y; Brooks SP, 2000, 'Bayesian Modelling of Prehistoric Corbelled Domes', Journal of the Royal Statistical Society. Series D, 49, pp. 339 - 354, http://www.jstor.org/stable/2681061

Juneja S; Matthews J; Luzinat R; Fan Y; Michael M; Rischin D; Millward M; Toner G, 1996, 'Association of acquired Pelger-huet anomaly with taxoid therapy', British Journal of Haematology, 93, pp. 139 - 141

Hyndman RJ; Fan Y, 1996, 'Sample quantiles in statistical packages', The American Statistician, 50, pp. 361 - 365, http://dx.doi.org/10.2307/2684934

Conference Papers

Grazian C; Emvalomenos G; Angelis G; Fan Y; Meikle SR, 2021, 'vPET-ABC: Voxel-wise Approximate Bayesian Inference for Parametric Imaging of Neurotransmitter Release', in 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022, http://dx.doi.org/10.1109/NSS/MIC44867.2021.9875446

Working Papers

Yi K; Chen J; Zhou B; Lio P; Fan Y; Hamann J, 2022, Approximate Equivariance SO(3) Needlet Convolution, http://dx.doi.org, https://arxiv.org/abs/2206.10385

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

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

Other

Fan Y; Crossley M; Johnston E, 2019, Male teachers are most likely to rate highly in university student feedback, https://theconversation.com/male-teachers-are-most-likely-to-rate-highly-in-university-student-feedback-111741

Bernado JM; Bayarri MJ; Dawid AP; Heckerman D; Smith AF; West M (eds.), 2007, Discussion to Sequential Monte carlo for Bayesian computation, Oxford University Press, http://dx.doi.org/10.1002/9780470317105


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