Teaching
- STAT440 E100. Learning from Big Data. Fall 2019.
- STAT440 E100. Learning from Big Data. Fall 2018.
Publications §
- S. Ge, S. Wang, Y.W. Teh, L. Wang and L.T. Elliott. Random Tessellation Forests. 2019. ArXiv preprint 1906.05440. Supplementary Material
- J. Mollink, S.M. Smith, L.T. Elliott, M. Kleinnijenhuis, M. Hiemstra, F. Alfaro-Almagro, J. Marchini, A.-M. van Cappellen van Walsum, S. Jbabdi, K.L. Miller. The spatial correspondence and genetic influence of interhemispheric connectivity with white matter microstructure. 2019. Nature Neuroscience. 22(5). p809-19
- L.T. Elliott, M. De Iorio, S. Favaro, K. Adhikari, Y.W. Teh. Modeling population structure under hierarchical Dirichlet processes. 2019. Bayesian Analysis. 14(2). p313-39. Code
- L.T. Elliott, K. Sharp, F. Alfaro-Almagro, S. Shi, K.L. Miller, G. Douaud, J. Marchini, S. Smith. Genome-wide association studies of brain imaging phenotypes in UK Biobank. 2018. Nature. 562(7726). p210-6. Data
- C. Bycroft, C. Freeman, D. Petkova, G. Band, L.T. Elliott, K. Sharp, A. Motyer, D. Vukcevic, O. Delaneau, J. O'Connell, A. Cortes, S. Welsh, A. Young, M. Effingham, G. McVean, S. Leslie, N. Allen, P. Donnelly, J. Marchini. The UK Biobank resource with deep phenotyping and genomic data. 2018. Nature. 562(7726). p203-9
- S. Schwab, R. Harbord, V. Zerbi, L.T. Elliott, S. Afyouni, J.Q. Smith, M.W. Woolrich, S.M. Smith and T.E. Nichols. Directed functional connectivity using dynamic graphical models. 2018. NeuroImage. 175. p340-53
- L.T. Elliott, Y.W. Teh. A nonparametric HMM for genetic imputation and coalescent inference. 2016. Electronic Journal of Statistics. 10(2). p3425-51. Code
- L.T. Elliott. Bayesian nonparametric models of genetic variation. 2016. PhD Thesis, Gatsby Unit, University College London
- L.T. Elliott, Y.W. Teh. Scalable imputation of genetic data with a discrete fragmentation-coagulation process. 2012. Proceedings of the 26th Conference on Neural Information Processing Systems
- R.M. Cichy, P. Sterzer, J. Heinzle, L.T. Elliott, F. Ramirez, J.D. Haynes. Probing principles of large-scale object representation: Category preference and location encoding. 2012. Human Brain Mapping. 34(7). p1636-51
- I. Murray, L.T. Elliott. Driving Markov chain Monte Carlo with a dependent random stream. 2012. ArXiv preprint 1204.3187. Code
- Y.W. Teh, C. Blundell, L.T. Elliott. Modelling genetic variations using fragmentation-coagulation Processes. 2011. Proceedings of the 25th Conference on Neural Information Processing Systems
- Y. Chen, P. Namburi, L.T. Elliott, J. Heinzle, C. Soon, M. Chee, J.D. Haynes. Cortical surface-based searchlight decoding. 2010. NeuroImage. 56(2). p582-92
Contact info
t: Vancouver: +1（604）442 ᐧ 4783
t: New York: +1（347）796 ᐧ 4389
e: lloyd ᐧ elliott ᘒ sfu ᐧ ca ( pgp public key )
a: Department of Statistics and Actuarial Science
a: Simon Fraser University
a: 8888 University Drive
a: Burnaby, B.C.
a: Canada, V5A 1S6
s: LinkedIn ᐧ github ᐧ Google Scholar
