By Professor Yanan Fan

Journal articles

Menéndez P; Fan Y; Garthwaite PH; Sisson SA, 2014, 'Simultaneous adjustment of bias and coverage probabilities for confidence intervals', Computational Statistics and Data Analysis, 70, pp. 35 - 44, http://dx.doi.org/10.1016/j.csda.2013.08.016

Fan Y; Nott DJ; Sisson SA, 2013, 'Approximate Bayesian computation via regression density estimation', Stat, 2, pp. 34 - 48, http://dx.doi.org/10.1002/sta4.15

Nott DJ; Fan Y; Sisson SA, 2012, 'Discussion on the paper of Fearnhead and Prangle "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation"', Journal of the Royal Statistical Society Series B - Statistical Methodology, 74, pp. 466 - 468

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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