Yanan Fan

Associate Professor

I am an Associate Professor of Statistics at the school of Mathematics and statistics. My research is focussed primarily on the development of Bayesian models and computational methodology to solve real world problems. My current interest include developing Bayesian semiparametric models; computational methods for large spatial data arising from medical images; approximate Bayesian inference methods and various applications of Bayesian methodology to real world problems.

 

RESEARCH

My research interests include:

  • Bayesian inference, Bayesian nonparametrics
  • Bayesian computation: Markov chain Monte Carlo, Approximate Bayesian computation
  • Quantile regression
  • Spatial modelling
  • Statistical applications in ecology
  • Medical image analysis

 

Books
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Fan Y; Nott D; Smith MS; Dortet-Bernadet JL, 2019, Preface, http://dx.doi.org/10.1016/B978-0-12-815862-3.00006-8
2019
Sisson SA; Beaumont M; Fan Y, 2017, Handbook of Approximate Bayesian Computation, Chapman & Hall
2017
Preprints
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Grazian C; Fan Y, 2019, A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models
2019
Rodrigues T; Dortet-Bernadet J-L; Fan Y, 2017, Noncrossing simultaneous Bayesian quantile curve fitting
2017
Rodrigues T; Dortet-Bernadet J-L; Fan Y, 2016, Pyramid quantile regression
2016
Menendez P; Fan Y; Garthwaite PH; Sisson SA, 2012, Simultaneous adjustment of bias and coverage probabilities for confidence intervals
2012
Peters GW; Nevat I; Sisson SA; Fan Y; Yuan J, 2010, Bayesian Symbol Detection in Wireless Relay Networks via Likelihood-Free Inference
2010
Fan Y; Dortet-Bernadet J-L; Sisson SA, 2009, On Bayesian Curve Fitting Via Auxiliary Variables
2009
Peters G; Sisson S; Fan Y, Likelihood-Free Bayesian Inference for -Stable Models, http://dx.doi.org/10.2139/ssrn.2980440
Book Chapters
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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
2020
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
2020
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
2019
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
2018
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
2018
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
2018
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
2018
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
2018
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
2011
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
2011
Edited Books
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Fan Y; Nott D; Dortet-Bernadet J-L; Smith M, (eds.), 2019, Flexible Bayesian Regression Modelling, Academic Press
2019
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
2018
Journal articles
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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
2021
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
2021
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
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
2021
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
2020
Yi K; Guo Y; Fan Y; Hamann J; Wang YG, 2020, 'Cosmo VAE: Variational Autoencoder for CMB Image Inpainting', Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207123
2020
Wang YG; Li M; Zheng M; Montufar G; Zhang X; Fan Y, 2020, 'Haar Graph Pooling', Proceedings of international conference on machine learning (ICML)
2020
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
2019
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
2019
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
2019
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
2019
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
2019
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
2019
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
2018
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
2018
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
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
2017
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
2017
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
2016
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
2016
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
2016
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
2016
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
2016
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
2015
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
2014
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
2014
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
2013
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
2012
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
2012
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
2012
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
2010
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
2010
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
2009
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
2009
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
2009
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
2008
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, vol. 104, pp. 1760 - 1765, http://dx.doi.org/10.1073/pnas.0607208104
2007
Sisson SA; Fan Y, 2007, 'A distance-based diagnostic for trans-dimensional Markov chains', Statistics and Computing, vol. 17, pp. 357 - 367, http://dx.doi.org/10.1007/s11222-007-9025-z
2007
Brooks S; Fan Y; Rosenthal J; Brooks , 2006, 'Perfect forward simulation via simulated tempering', Communications in Statistics - Simulation and Computation, vol. 35, pp. 683 - 713, http://dx.doi.org/10.1080/03610910600716753
2006
Fan Y; Gelman A; Brooks S, 2006, 'Output assessment for Monte Carlo simulations via the score statistic', Journal of Computational and Graphical Statistics, vol. 15, pp. 178 - 206, http://dx.doi.org/10.1198/106186006X96908
2006
Hall PH; Hyndman RJ; Fan Y, 2004, 'Nonparametric confidence intervale for receiver operating characteristic curves', Biometrika, vol. 91, pp. 743 - 750, http://dx.doi.org/10.1093/biomet/91.3.743
2004
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, vol. 9, pp. 1 - 26, http://dx.doi.org/10.1198/1085711043172
2004
Fan Y; Brooks SP, 2000, 'Bayesian Modelling of Prehistoric Corbelled Domes', Journal of the Royal Statistical Society. Series D, vol. 49, pp. 339 - 354, http://www.jstor.org/stable/2681061
2000
Hyndman RJ; Fan Y, 1996, 'Sample quantiles in statistical packages', The American Statistician, vol. 50, pp. 361 - 365, http://dx.doi.org/10.2307/2684934
1996
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, vol. 93, pp. 139 - 141
1996
Other
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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
2019
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
2007
Working Papers
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Wang YG; Li M; Ma Z; Montufar G; Zhuang X; Fan Y, 2020, Haar graph pooling, http://dx.doi.org, http://arxiv.org/abs/1909.11580v3
2020

Bayesian analysis, Markov chain, Monte Carlo methods, Approximate Bayesian computation, Mequential Monte Carlo methods, Model selection problems, Computational statistics, Statistical applications in ecology, Mark-Capture-Recovery analysis