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
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.
Journal article
Willetts M. et al, (2018), Scientific reports, 8
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
The nature and nurture of cell heterogeneity: accounting for macrophage gene-environment interactions with single-cell RNA-Seq.
Journal article
Wills QF. et al, (2017), Bmc genomics, 18
Bayesian boolean matrix factorisation
Conference paper
Rukat T. et al, (2017), 34th international conference on machine learning, icml 2017, 6, 4539 - 4549
Characterizing variation of nonparametric random probability measures using the Kullback–Leibler divergence
Journal article
Watson J. et al, (2016), Statistics, 1 - 14
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
Hodgkin-Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods.
Journal article
Daly AC. et al, (2015), Royal society open science, 2
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