Select Publications

Books

Fan Y; Nott D; Smith MS; Dortet-Bernadet JL, 2019, Preface, http://dx.doi.org/10.1016/B978-0-12-815862-3.00006-8

Sisson SA; Beaumont M; Fan Y, 2017, Handbook of Approximate Bayesian Computation, Chapman & Hall

Book Chapters

Dortet-Bernadet J-L; Fan Y; Rodrigues T, 2020, 'Chapter 1 Bayesian quantile regression with the asymmetric Laplace distribution', in Flexible Bayesian Regression Modelling, pp. 1 - 25, http://dx.doi.org/10.1016/b978-0-12-815862-3.00007-x

Fan Y; Nott D; Smith MS; Dortet-Bernadet J-L, 2020, 'Preface', in Flexible Bayesian Regression Modelling, pp. xiii - xiv, http://dx.doi.org/10.1016/b978-0-12-815862-3.00006-8

Dortet-Bernadet J-L; Fan Y; Rodrigues T, 2019, 'Bayesian quantile regression with the asymmetric Laplace distribution', in Flexible bayesian regression modelling, Academic Press, pp. 1 - 25, http://dx.doi.org/10.1016/B978-0-12-815862-3.00007-X

Nott DJ; Ong VM-H; Fan Y; Sisson SA, 2018, 'High-Dimensional ABC', in Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC, pp. 211 - 241, http://dx.doi.org/10.1201/9781315117195-8

Sisson S; Fan Y, 2018, 'ABC Samplers', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 87 - 123, https://www.amazon.com/Handbook-Approximate-Computation-Handbooks-Statistical/dp/1439881502

Nott D; Ong V; Fan Y; Sisson S, 2018, 'High-dimensional approximate Bayesian computation', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 211 - 242

Sisson S; Fan Y; Beaumont M, 2018, 'Overview of Approximate Bayesian Computation', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 3 - 54, https://www.amazon.com/Handbook-Approximate-Computation-Handbooks-Statistical/dp/1439881502

Fan Y; Meikle SR; Angelis GI; Sitek A, 2018, 'ABC in nuclear imaging', in Fan Y; Sisson SA; Beaumont M (ed.), Handbook of approximate bayesian computation, CRC Press, https://www.crcpress.com/Handbook-of-Approximate-Bayesian-Computation/Sisson-Fan-Beaumont/p/book/9781439881507

Sisson SA; Fan Y, 2011, 'Likelihood-free MCMC', in Brooks S; Gelman A; Jones GL; Meng X-L (ed.), Handbook of Markov Chain Monte Carlo, edn. Chapman & Hall-CRC Handbooks of Modern Statistical Methods, Taylor and Francis Group, USA, pp. 313 - 333, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000294600700013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Fan Y; Sisson S, 2011, 'Reversible Jump MCMC', in Brooks S; Gelman A; Jones GL; Meng X-L (ed.), Handbook of Markov Chain Monte Carlo, edn. Chapman & Hall-CRC Handbooks of Modern Statistical Methods, Taylor and Francis Group, USA, pp. 67 - 87, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000294600700004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Edited Books

Fan Y; Nott D; Dortet-Bernadet J-L; Smith M, (eds.), 2019, Flexible Bayesian Regression Modelling, Academic Press

Sisson S; Fan Y; Beaumont M, (eds.), 2018, Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC Press, https://www.crcpress.com/Handbook-of-Approximate-Bayesian-Computation/Sisson-Fan-Beaumont/p/book/9781439881507

Journal articles

Olson R; An SI; Kim SK; Fan Y, 2021, 'A novel approach for discovering stochastic models behind data applied to El Niño–Southern Oscillation', Scientific Reports, vol. 11, http://dx.doi.org/10.1038/s41598-021-81162-2

Olson R; Fan Y; An SI; Kim SK, 2021, 'A flexible data-driven cyclostationary model for the probability density of El Niño-Southern Oscillation', Chaos, vol. 31, http://dx.doi.org/10.1063/5.0060104

Kulinich M; Fan Y; Penev S; Evans JP; Olson R, 2021, 'A Markov chain method for weighting climate model ensembles', Geoscientific Model Development, vol. 14, pp. 3539 - 3551, http://dx.doi.org/10.5194/gmd-14-3539-2021

Fan Y; Emvalomenos G; Grazian C; Meikle SR, 2021, 'PET-ABC: Fully Bayesian likelihood-free inference for kinetic models', Physics in Medicine and Biology, vol. 66, http://dx.doi.org/10.1088/1361-6560/abfa37

Adams S; Bekker S; Fan Y; Gordon T; Shepherd LJ; Slavich E; Waters D, 2021, 'Gender Bias in Student Evaluations of Teaching: ‘Punish[ing] Those Who Fail To Do Their Gender Right’', Higher Education, http://dx.doi.org/10.1007/s10734-021-00704-9

Yi K; Guo Y; Hamann J; Fan Y; Wang Y, 2020, 'CosmoVAE: Variational Autoencoder for CMB Image Inpainting', IEEE Proceedings of the International Joint Conference on Neural Networks (IJCNN), http://dx.doi.org/10.1109/IJCNN48605.2020.9207123

Wang YG; Li M; Zheng M; Montufar G; Zhang X; Fan Y, 2020, 'Haar Graph Pooling', Proceedings of international conference on machine learning (ICML)

Olson R; An SI; Fan Y; Chang W; Evans JP; Lee JY, 2019, 'A novel method to test non-exclusive hypotheses applied to Arctic ice projections from dependent models', Nature Communications, vol. 10, pp. 3016, http://dx.doi.org/10.1038/s41467-019-10561-x

Rodrigues T; Dortet-Bernadet JL; Fan Y, 2019, 'Simultaneous fitting of Bayesian penalised quantile splines', Computational Statistics and Data Analysis, vol. 134, pp. 93 - 109, http://dx.doi.org/10.1016/j.csda.2018.12.009

Rodrigues T; Dortet-Bernadet J-L; Fan Y, 2019, 'Pyramid Quantile Regression', Journal of Computational and Graphical Statistics, pp. 1 - 25, http://dx.doi.org/10.1080/10618600.2019.1575225

Olson R; An SI; Fan Y; Evans JP, 2019, 'Accounting for skill in trend, variability, and autocorrelation facilitates better multi-model projections: Application to the AMOC and temperature time series', PLoS ONE, vol. 14, http://dx.doi.org/10.1371/journal.pone.0214535

Fan Y; Shepherd LJ; Slavich E; Waters D; Stone M; Abel R; Johnston EL, 2019, 'Gender and cultural bias in student evaluations: Why representation matters', PLoS ONE, vol. 14, http://dx.doi.org/10.1371/journal.pone.0209749

Grazian C; Fan Y, 2019, 'A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models', WIREs Computational Statistics, vol. e1486, http://dx.doi.org/10.1002/wics.1486

Olson R; An SI; Fan Y; Evans JP; Caesar L, 2018, 'North Atlantic observations sharpen meridional overturning projections', Climate Dynamics, vol. 50, pp. 4171 - 4188, http://dx.doi.org/10.1007/s00382-017-3867-7

Zhu W; Fan Y, 2018, 'A Novel Approach for Markov Random Field With Intractable Normalizing Constant on Large Lattices', Journal of Computational and Graphical Statistics, vol. 27, pp. 59 - 70, http://dx.doi.org/10.1080/10618600.2017.1317263

Fan Y; Olson R; Evans JP, 2017, 'A Bayesian posterior predictive framework for weighting ensemble regional climate models', Geoscientific Model Development, vol. 10, pp. 2321 - 2332, http://dx.doi.org/10.5194/gmd-10-2321-2017

Li J; Nott DJ; Fan Y; Sisson SA, 2017, 'Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model', Computational Statistics and Data Analysis, vol. 106, pp. 77 - 89, http://dx.doi.org/10.1016/j.csda.2016.07.005

Fan Y; de Micheaux PL; Penev S; Salopek D, 2017, 'Multivariate nonparametric test of independence', Journal of Multivariate Analysis, vol. 153, pp. 189 - 210, http://dx.doi.org/10.1016/j.jmva.2016.09.014

Garthwaite PH; Fan Y; Sisson SA, 2016, 'Adaptive optimal scaling of Metropolis–Hastings algorithms using the Robbins–Monro process', Communications in Statistics - Theory and Methods, vol. 45, pp. 5098 - 5111, http://dx.doi.org/10.1080/03610926.2014.936562

Olson R; Fan Y; Evans JP, 2016, 'A simple method for Bayesian model averaging of regional climate model projections: Application to southeast Australian temperatures', Geophysical Research Letters, vol. 43, pp. 7661 - 7669, http://dx.doi.org/10.1002/2016GL069704

Rodrigues T; Fan Y, 2016, 'Regression adjustment for noncrossing Bayesian quantile regression', Journal of Computational and Graphical Statistics, vol. 26, pp. 275 - 284, http://dx.doi.org/10.1080/10618600.2016.1172016

Zhu W; Ouyang J; Rakvongthai Y; Guehl NJ; Wooten DW; El Fakhri G; Normandin MD; Fan Y, 2016, 'A Bayesian spatial temporal mixtures approach to kinetic parametric images in dynamic positron emission tomography', Medical Physics, vol. 43, pp. 1222 - 1234, http://dx.doi.org/10.1118/1.4941010

Zhu W; Fan Y, 2016, 'Relabelling algorithms for mixture models with applications for large data sets', Journal of Statistical Computation and Simulation, vol. 86, pp. 394 - 413, http://dx.doi.org/10.1080/00949655.2015.1015129

Lee J; Fan Y; Sisson SA, 2015, 'Bayesian threshold selection for extremal models using measures of surprise', Computational Statistics and Data Analysis, vol. 85, pp. 84 - 99, http://dx.doi.org/10.1016/j.csda.2014.12.004

Nott DJ; Fan Y; Marshall L; Sisson SA, 2014, 'Approximate Bayesian computation and Bayes' linear analysis: Toward high- dimensional ABC', Journal of Computational and Graphical Statistics, vol. 23, pp. 65 - 86, http://dx.doi.org/10.1080/10618600.2012.751874

Menéndez P; Fan Y; Garthwaite PH; Sisson SA, 2014, 'Simultaneous adjustment of bias and coverage probabilities for confidence intervals', Computational Statistics and Data Analysis, vol. 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, vol. 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, vol. 74, pp. 466 - 468

Peters GW; Sisson SA; Fan Y, 2012, 'Likelihood-free Bayesian inference for alpha-stable models', Computational Statistics and Data Analysis, vol. 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, vol. 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, vol. 58, pp. 5206 - 5218, http://dx.doi.org/10.1109/TSP.2010.2052457

Fan Y; Dortet-Bernadet J; Sisson SA, 2010, 'On Bayesian curve fitting via auxiliary variables', Journal of Computational and Graphical Statistics, vol. 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, vol. 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, vol. 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, vol. 58, pp. 247 - 266, http://dx.doi.org/10.1111/j.1467-9876.2008.00656.x

Fan Y; Leslie DS; Wand MP, 2008, 'Generalised linear mixed model analysis via sequential Monte Carlo sampling', Electronic Journal of Statistics, vol. 2, pp. 916 - 938, http://dx.doi.org/10.1214/07-EJS158


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