2020

Monterrubio-Gomez, Karla, Roininen, Lassi, Wade, Sara, Damoulas, Theodoros and Girolami, Mark (2020) Posterior inference for sparse hierarchical non-stationary models. Computational Statistics & Data Analysis, 148 . 106954. doi:10.1016/j.csda.2020.106954 ISSN 0167-9473.

2019

Cockayne, Jon, Oates, Chris J., Sullivan, T. J. and Girolami, Mark (2019) Bayesian probabilistic numerical methods. SIAM Review, 61 (4). pp. 756-789. doi:10.1137/17M1139357 ISSN 0036-1445.

2017

Conrad, Patrick R., Girolami, Mark, Särkkä, Simo, Stuart, A. M. and Zygalakis, Konstantinos (2017) Statistical analysis of differential equations : introducing probability measures on numerical solutions. Statistics and Computing, 27 (4). pp. 1065-1082. doi:10.1007/s11222-016-9671-0 ISSN 0960-3174.

Cockayne, Jon, Oates, Chris J., Sullivan, T. J. and Girolami, Mark (2017) Probabilistic numerical methods for PDE-constrained Bayesian inverse problems. In: 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Ghent, Belgium, 10-15 Jul 2016. Published in: AIP Conference Proceedings, 1853 (1). doi:10.1063/1.4985359 ISSN 0094-243X.

Oates, Chris J., Girolami, Mark and Chopin, Nicolas (2017) Control functionals for Monte Carlo integration. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79 (3). pp. 695-718. doi:10.1111/rssb.12185 ISSN 1369-7412.

Beskos, Alexandros, Girolami, Mark, Lan, Shiwei, Farrell, Patrick E. and Stuart, A. M. (2017) Geometric MCMC for infinite-dimensional inverse problems. Journal of Computational Physics, 335 . pp. 327-351. doi:10.1016/j.jcp.2016.12.041 ISSN 0021-9991.

Jensen, Kasper, Soguero-Ruiz, Cristina, Oyvind Mikalsen, Karl, Lindsetmo, Rolv-Ole, Kouskoumvekaki, Irene, Girolami, Mark, Olav Skrovseth, Stein and Magne Augestad, Knut (2017) Analysis of free text in electronic health records for identification of cancer patient trajectories. Scientific Reports, 7 . 46226. doi:10.1038/srep46226 ISSN 2045-2322.

2016

Rondina, Jane M., Filippone, Maurizio, Girolami, Mark and Ward, Nick S. (2016) Decoding post-stroke motor function from structural brain imaging. NeuroImage: Clinical, 12 . pp. 372-380. doi:10.1016/j.nicl.2016.07.014 ISSN 2213-1582.

(2016) Regulation of post-Golgi LH3 trafficking is essential for collagen homeostasis. Nature Communications, 7 . 12111. doi:10.1038/ncomms12111 ISSN 2041-1723.

Virtanen, Seppo, Rost, Mattias, Morrison, Alistair, Chalmers , Matthew and Girolami, Mark (2016) Uncovering smartphone usage patterns with multi-view mixed membership models. Stat, 5 (1). pp. 57-69. doi:10.1002/sta4.103 ISSN 2049-1573.

2015

Schwentner, Raphaela, Papamarkou, Theodore, Kauer, Maximilian O., Stathopoulos, Vassilios, Yang, Fan, Bilke, Sven, Meltzer, Paul S., Girolami, Mark and Kovar, Heinrich (2015) EWS-FLI1 employs an E2F switch to drive target gene expression. Nucleic Acids Research, 43 (5). pp. 2780-2789. doi:10.1093/nar/gkv123 ISSN 0305-1048.

2014

Filippone, Maurizio and Girolami, Mark (2014) Pseudo-marginal Bayesian inference for Gaussian processes. IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 36 (Number 11). pp. 2214-2226. doi:10.1109/TPAMI.2014.2316530 ISSN 0162-8828.

Bui-Thanh, T. and Girolami, Mark (2014) Solving large-scale PDE-constrained Bayesian inverse problems with Riemann manifold Hamiltonian Monte Carlo. Inverse Problems, Volume 30 (Number 11). Article number 114014. doi:10.1088/0266-5611/30/11/114014 ISSN 0266-5611.

Kramer, A., Stathopoulos, Vassilios, Girolami, Mark and Radde, N. (2014) MCMC_CLIB-an advanced MCMC sampling package for ODE models. Bioinformatics, Volume 30 (Number 20). pp. 2991-2992. doi:10.1093/bioinformatics/btu429 ISSN 1367-4803.

Livingstone, Samuel and Girolami, Mark (2014) Information-geometric Markov chain Monte Carlo methods using diffusions. Entropy, Volume 16 (Number 6). pp. 3074-3102. doi:10.3390/e16063074 ISSN 1099-4300.

Papamarkou, Theodore, Mira, Antonietta and Girolami, Mark (2014) Zero variance differential geometric Markov Chain Monte Carlo algorithms. Bayesian Analysis, Volume 9 (Number 1). pp. 97-128. doi:10.1214/13-BA848 ISSN 1931-6690.

Andrei, Oana, Calder, Muffy, Higgs, Matthew and Girolami, Mark (2014) Probabilistic model checking of DTMC models of user activity patterns. In: Norman, Gethin and Sanders, William, (eds.) Quantitative Evaluation of Systems : 11th International Conference, QEST 2014, Florence, Italy, September 8-10, 2014. Proceedings;. Lecture Notes in Computer Science, Volume 8657 . Springer International Publishing, pp. 138-153. ISBN 9783319106953

2013

Byrne, Simon and Girolami, Mark (2013) Geodesic Monte Carlo on embedded manifolds. Scandinavian Journal of Statistics, Volume 40 (Number 4). pp. 825-845. doi:10.1111/sjos.12036 ISSN 0303-6898.

Diethe, Tom and Girolami, Mark (2013) Online learning with (multiple) kernels : a review. Neural Computation, Volume 25 (Number 3). pp. 567-625. doi:10.1162/NECO_a_00406 ISSN 0899-7667.

2012

Stathopoulos, Vassilios and Girolami, Mark (2012) Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Volume 371 (Number 1984). Article number 20110541. doi:10.1098/rsta.2011.0541 ISSN 1364-503X.

Filippone, M., Marquand, A. F., Blain, C. R. V., Williams, S. C. R., Mourão-Miranda, J. and Girolami, Mark (2012) Probabilistic prediction of neurological disorders with a statistical assessment of neuroimaging data modalities. The Annals of Applied Statistics, Volume 6 (Number 4). pp. 1883-1905. doi:10.1214/12-AOAS562 ISSN 1932-6157.

Jiwaji, Meesbah, Daly, Rónán, Gibriel, Abdullah, Barkess, Gráinne, McLean, Pauline, Yang, Jingli, Pansare, Kshama, Cumming, Sarah, McLauchlan, Alisha, Kamola, Piotr J., Bhutta, Musab S., West, Adam G., West, Katherine L., Kolch, Walter, Girolami, Mark and Pitt, A. R. (2012) Unique reporter-based sensor platforms to monitor signalling in cells. PLoS One, Volume 7 (Number 11). Article number e50521. doi:10.1371/journal.pone.0050521 ISSN 1932-6203.

Yuan, Ke, Girolami, Mark and Niranjan, Mahesan (2012) Markov chain Monte Carlo methods for state-space models with point process observations. Neural Computation, Volume 24 (Number 6). pp. 1462-1486. doi:10.1162/NECO_a_00281

Mohamed, Linah, Calderhead, Ben, Filippone, Maurizio, Christie, Mike and Girolami, Mark (2012) Population MCMC methods for history matching and uncertainty quantification. Computational Geosciences, Volume 16 (Number 2). pp. 423-436. doi:10.1007/s10596-011-9232-8 ISSN 1420-0597.

2011

Calderhead, B. and Girolami, Mark (2011) Statistical analysis of nonlinear dynamical systems using differential geometric sampling methods. Interface Focus, Volume 1 (Number 6). pp. 821-835. doi:10.1098/rsfs.2011.0051 ISSN 2042-8898.

Girolami, Mark and Calderhead, Ben (2011) Riemann manifold Langevin and Hamiltonian Monte Carlo methods. Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 73 (Number 2). pp. 123-214. doi:10.1111/j.1467-9868.2010.00765.x ISSN 1369-7412.

Zhong, Mingjun, Girolami, Mark, Faulds, Karen and Graham, Duncan (2011) Bayesian methods to detect dye-labelled DNA oligonucleotides in multiplexed Raman spectra. Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 60 (Number 2). pp. 187-206. doi:10.1111/j.1467-9876.2010.00744.x ISSN 0035-9254.