Professor Yanan Fan

Professor Yanan Fan

Adjunct Professor
Science
School of Mathematics & Statistics

I am an adjunct full Professor of Statistics at the school of Mathematics and statistics and a senior Principal research scientist at CSIRO's Data61, Australia's science agency. 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, and more recently, developing methods to convert text into data to detect unconscious bias in languages.

 

RESEARCH

My research interests include:

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

 

Phone
9385 7034
Location
School of Mathematics and Statistics University of New South Wales Sydney NSW 2052 The Red Centre Room 2055
  • Books | 2019
    Fan Y; Nott D; Smith MS; Dortet-Bernadet JL, 2019, Preface, http://dx.doi.org/10.1016/B978-0-12-815862-3.00006-8
    Books | 2017
    Sisson SA; Beaumont M; Fan Y, 2017, Handbook of Approximate Bayesian Computation, Chapman & Hall
  • Book Chapters | 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, Elsevier, pp. 1 - 25, http://dx.doi.org/10.1016/b978-0-12-815862-3.00007-x
    Book Chapters | 2020
    Fan Y; Nott D; Smith MS; Dortet-Bernadet J-L, 2020, 'Preface', in Flexible Bayesian Regression Modelling, Elsevier, pp. xiii - xiv, http://dx.doi.org/10.1016/b978-0-12-815862-3.00006-8
    Book Chapters | 2019
    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
    Book Chapters | 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
    Book Chapters | 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
    Book Chapters | 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
    Book Chapters | 2018
    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
    Book Chapters | 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, http://dx.doi.org/10.1201/9781315117195-4
    Book Chapters | 2011
    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, Taylor and Francis Group, USA, pp. 67 - 87
    Book Chapters | 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
  • Edited Books | 2019
    Fan Y; Nott D; Dortet-Bernadet J-L; Smith M, (eds.), 2019, Flexible Bayesian Regression Modelling, Academic Press
    Edited Books | 2018
    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 | 2024
    Ke X; Fan Y, 2024, 'Bayesian L1/2 Regression', Journal of Computational and Graphical Statistics, http://dx.doi.org/10.1080/10618600.2024.2374579
    Journal articles | 2024
    Kim F; Johnston EL; Fan Y, 2024, 'A topic model analysis of students' gendered expectations using surveyed critiques of lecturers', Frontiers in Education, 9, http://dx.doi.org/10.3389/feduc.2024.1296771
    Journal articles | 2024
    Kim F; Williams LA; Johnston EL; Fan Y, 2024, 'Bias intervention messaging in student evaluations of teaching: The role of gendered perceptions of bias', Heliyon, 10, http://dx.doi.org/10.1016/j.heliyon.2024.e37140
    Journal articles | 2023
    Zhu W; Fan Y, 2023, 'A synthetic likelihood approach for intractable markov random fields', Computational Statistics, 38, pp. 749 - 777, http://dx.doi.org/10.1007/s00180-022-01256-x
    Journal articles | 2022
    Adams S; Bekker S; Fan Y; Gordon T; Shepherd LJ; Slavich E; Waters D, 2022, 'Gender Bias in Student Evaluations of Teaching: ‘Punish[ing] Those Who Fail To Do Their Gender Right’', Higher Education, 83, pp. 787 - 807, http://dx.doi.org/10.1007/s10734-021-00704-9
    Journal articles | 2022
    Kai Y; Chen J; Wang Y; Zhou B; Pietro L'O; Fan Y; Hamann J, 2022, 'APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION', Proceedings of Topological, Algebraic, and Geometric Learning Workshops (ICML 2022), 196, pp. 189 - 198
    Journal articles | 2022
    Olson R; Kim SK; Fan Y; An S-I, 2022, 'Probabilistic Projections of El Niño Southern Oscillation Properties Accounting for Model Dependence and Skill', Scientific Reports, http://dx.doi.org/10.1038/s41598-022-26513-3
    Journal articles | 2022
    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, 2022, 'Cell graph neural networks enable the precise prediction of patient survival in gastric cancer', npj Precision Oncology, 6, http://dx.doi.org/10.1038/s41698-022-00285-5
    Journal articles | 2022
    2022, 'Approximate Equivariance SO(3) Needlet Convolution', ICML 2022 Workshop on Topology, Algebra, and Geometry in Machine Learning., https://arxiv.org/abs/2206.10385
    Journal articles | 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, 66, pp. 115002, http://dx.doi.org/10.1088/1361-6560/abfa37
    Journal articles | 2021
    Kulinich M; Fan Y; Penev S; Evans JP; Olson R, 2021, 'A Markov chain method for weighting climate model ensembles', Geoscientific Model Development, 14, pp. 3539 - 3551, http://dx.doi.org/10.5194/gmd-14-3539-2021
    Journal articles | 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, 11, http://dx.doi.org/10.1038/s41598-021-81162-2
    Journal articles | 2021
    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, 31, http://dx.doi.org/10.1063/5.0060104
    Journal articles | 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), 119, pp. 9952 - 9962, http://proceedings.mlr.press/v119/wang20m.html
    Journal articles | 2020
    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)
    Journal articles | 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, 14, http://dx.doi.org/10.1371/journal.pone.0209749
    Journal articles | 2019
    Grazian C; Fan Y, 2019, 'A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models', WIREs Computational Statistics, e1486, http://dx.doi.org/10.1002/wics.1486
    Journal articles | 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, 10, pp. 3016, http://dx.doi.org/10.1038/s41467-019-10561-x
    Journal articles | 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, 14, pp. e0214535, http://dx.doi.org/10.1371/journal.pone.0214535
    Journal articles | 2019
    Rodrigues T; Dortet-Bernadet J-L; Fan Y, 2019, 'Pyramid Quantile Regression', Journal of Computational and Graphical Statistics, 28, pp. 1 - 25, http://dx.doi.org/10.1080/10618600.2019.1575225
    Journal articles | 2019
    Rodrigues T; Dortet-Bernadet JL; Fan Y, 2019, 'Simultaneous fitting of Bayesian penalised quantile splines', Computational Statistics and Data Analysis, 134, pp. 93 - 109, http://dx.doi.org/10.1016/j.csda.2018.12.009
    Journal articles | 2018
    Olson R; An SI; Fan Y; Evans JP; Caesar L, 2018, 'North Atlantic observations sharpen meridional overturning projections', Climate Dynamics, 50, pp. 4171 - 4188, http://dx.doi.org/10.1007/s00382-017-3867-7
    Journal articles | 2018
    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, 27, pp. 59 - 70, http://dx.doi.org/10.1080/10618600.2017.1317263
    Journal articles | 2017
    Fan Y; Olson R; Evans JP, 2017, 'A Bayesian posterior predictive framework for weighting ensemble regional climate models', , http://dx.doi.org/10.5194/gmd-2016-291
    Journal articles | 2017
    Fan Y; Olson R; Evans JP, 2017, 'A Bayesian posterior predictive framework for weighting ensemble regional climate models', Geoscientific Model Development, 10, pp. 2321 - 2332, http://dx.doi.org/10.5194/gmd-10-2321-2017
    Journal articles | 2017
    Fan Y; de Micheaux PL; Penev S; Salopek D, 2017, 'Multivariate nonparametric test of independence', Journal of Multivariate Analysis, 153, pp. 189 - 210, http://dx.doi.org/10.1016/j.jmva.2016.09.014
    Journal articles | 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, 106, pp. 77 - 89, http://dx.doi.org/10.1016/j.csda.2016.07.005
    Journal articles | 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, 45, pp. 5098 - 5111, http://dx.doi.org/10.1080/03610926.2014.936562
    Journal articles | 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, 43, pp. 7661 - 7669, http://dx.doi.org/10.1002/2016GL069704
    Journal articles | 2016
    Rodrigues T; Fan Y, 2016, 'Regression adjustment for noncrossing Bayesian quantile regression', Journal of Computational and Graphical Statistics, http://dx.doi.org/10.1080/10618600.2016.1172016
    Journal articles | 2016
    Zhu W; Fan Y, 2016, 'Relabelling algorithms for mixture models with applications for large data sets', Journal of Statistical Computation and Simulation, 86, pp. 394 - 413, http://dx.doi.org/10.1080/00949655.2015.1015129
    Journal articles | 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, 43, pp. 1222 - 1234, http://dx.doi.org/10.1118/1.4941010
    Journal articles | 2015
    Lee J; Fan Y; Sisson SA, 2015, 'Bayesian threshold selection for extremal models using measures of surprise', Computational Statistics and Data Analysis, 85, pp. 84 - 99, http://dx.doi.org/10.1016/j.csda.2014.12.004
    Journal articles | 2014
    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
    Journal articles | 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, 23, pp. 65 - 86, http://dx.doi.org/10.1080/10618600.2012.751874
    Journal articles | 2013
    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
    Journal articles | 2012
    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
    Journal articles | 2012
    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
    Journal articles | 2012
    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
    Journal articles | 2010
    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
    Journal articles | 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, 58, pp. 5206 - 5218
    Journal articles | 2009
    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
    Journal articles | 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, 106, pp. 16889, http://dx.doi.org/10.1073/pnas.0908847106
    Journal articles | 2009
    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
    Journal articles | 2008
    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
    Journal articles | 2007
    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
    Journal articles | 2007
    Sisson SA; Fan Y, 2007, 'A distance-based diagnostic for trans-dimensional Markov chains', Statistics and Computing, 17, pp. 357 - 367
    Journal articles | 2006
    Brooks S; Fan Y; Rosenthal J; Brooks , 2006, 'Perfect forward simulation via simulated tempering', Communications in Statistics - Simulation and Computation, 35, pp. 683 - 713, http://dx.doi.org/10.1080/03610910600716753
    Journal articles | 2006
    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
    Journal articles | 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, 9, pp. 1 - 26
    Journal articles | 2004
    Hall PH; Hyndman RJ; Fan Y, 2004, 'Nonparametric confidence intervale for receiver operating characteristic curves', Biometrika, 91, pp. 743 - 750, http://dx.doi.org/10.1093/biomet/91.3.743
    Journal articles | 2000
    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
    Journal articles | 1996
    Hyndman RJ; Fan Y, 1996, 'Sample quantiles in statistical packages', The American Statistician, 50, pp. 361 - 365, http://dx.doi.org/10.2307/2684934
    Journal articles | 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, 93, pp. 139 - 141
  • Working Papers | 2022
    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
  • Conference Papers | 2021
    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
    Preprints | 2021
    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
    Preprints | 2020
    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
    Other | 2019
    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
    Preprints | 2019
    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
    Preprints | 2017
    Rodrigues T; Dortet-Bernadet J-L; Fan Y, 2017, Noncrossing simultaneous Bayesian quantile curve fitting, , http://dx.doi.org/10.48550/arxiv.1711.09317
    Preprints | 2016
    Fan Y; Meikle SR; Angelis G; Sitek A, 2016, ABC in Nuclear Imaging, , http://dx.doi.org/10.48550/arxiv.1607.08678
    Preprints | 2016
    Rodrigues T; Dortet-Bernadet J-L; Fan Y, 2016, Pyramid quantile regression, , http://dx.doi.org/10.48550/arxiv.1606.05407
    Preprints | 2015
    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
    Preprints | 2014
    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
    Preprints | 2012
    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
    Preprints | 2010
    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
    Preprints | 2009
    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
    Other | 2007
    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
    Preprints |
    Peters G; Sisson S; Fan Y, Likelihood-Free Bayesian Inference for -Stable Models, http://dx.doi.org/10.2139/ssrn.2980440