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High-throughput mouse phenomics for characterizing mammalian gene function.

Journal article

Brown SDM. et al, (2018), Nature reviews. genetics, 19, 357 - 370

Principles of Bayesian inference using general divergence criteria

Journal article

Jewson J. et al, (2018), Entropy, 20

Multiscale Blind Source Separation

Journal article

Behr M. et al, (2018), Annals of statistics, 46, 711 - 744

Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models.

Journal article

Daly AC. et al, (2017), Journal of the royal society, interface, 14

Principles of Experimental Design for Big Data Analysis.

Journal article

Drovandi CC. et al, (2017), Statistical science : a review journal of the institute of mathematical statistics, 32, 385 - 404

Assigning a value to a power likelihood in a general Bayesian model

Journal article

Holmes CC. and Walker SG., (2017), Biometrika, 104, 497 - 503

Encrypted accelerated least squares regression

Journal article

Esperança PM. et al, (2017), Proceedings of the 20th international conference on artificial intelligence and statistics, 54, 334 - 343

A note on statistical repeatability and study design for high-throughput assays.

Journal article

Nicholson G. and Holmes C., (2017), Statistics in medicine, 36, 790 - 798

Bayesian boolean matrix factorisation

Conference paper

Rukat T. et al, (2017), 34th international conference on machine learning, icml 2017, 6, 4539 - 4549

Scalable Bayesian nonparametric measures for exploring pairwise dependence via Dirichlet Process Mixtures.

Journal article

Filippi S. et al, (2016), Electronic journal of statistics, 10, 3338 - 3354

A general framework for updating belief distributions.

Journal article

Bissiri PG. et al, (2016), Journal of the royal statistical society. series b, statistical methodology, 78, 1103 - 1130

Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks.

Journal article

Gray-Davies T. et al, (2016), Electronic journal of statistics, 10, 1807 - 1828

Statistical Inference in Hidden Markov Models Using k-Segment Constraints

Journal article

Titsias MK. et al, (2016), Journal of the american statistical association, 111, 200 - 215

Rejoinder: Approximate models and robust decisions

Journal article

Watson J. and Holmes C., (2016), Statistical science, 31, 516 - 520

Distinct roles of copy number and loss-of-heterozygosity in predicting prognosis for breast cancer patients

Conference paper

van Stiphout RGPM. et al, (2015), Cancer research, 75

Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics.

Journal article

de Angelis MH. et al, (2015), Nature genetics, 47, 969 - 978

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