Geometric analysis enables biological insight from complex non-identifiable models using simple surrogates por Browning, AP, Simpson, MJ

Exact calculations of survival probability for diffusion on growing lines, disks, and spheres: The role of dimension por Simpson, MJ, Baker, RE

A practical guide to pseudo-marginal methods for computational inference in systems biology por Warne, DJ, Baker, RE, Simpson, MJ

Bayesian uncertainty quantification for data-driven equation learning por Martina-Perez, S, Simpson, MJ, Baker, RE

Accurate and efficient discretizations for stochastic models providing near agent-based spatial resolution at low computational cost por Fadai, NT, Baker, RE, Simpson, MJ

Rapid Bayesian inference for expensive stochastic models por Warne, DJ, Baker, RE, Simpson, MJ

Continuum descriptions of spatial spreading for heterogeneous cell populations: theory and experiment por Matsiaka, OM, Baker, RE, Simpson, MJ

Make the most of your society journal por Simpson, MJ, Laubenbacher, RC, Baker, RE

Practical parameter identifiability for spatio-temporal models of cell invasion por Simpson, MJ, Baker, RE, Vittadello, ST, Maclaren, OJ

Learning differential equation models from stochastic agent-based model simulations por Nardini, JT, Baker, RE, Simpson, MJ, Flores, KB

Travelling waves in a free boundary mechanobiological model of an epithelial tissue por Murphy, RJ, Buenzli, PR, Baker, RE, Simpson, MJ

Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes por Warne, D, Prescott, TP, Baker, R, Simpson, MJ

Crowded transport within networked representations of complex geometries por Wilson, DB, Woodhouse, FG, Simpson, MJ, Baker, RE

Biologically-informed neural networks guide mechanistic modeling from sparse experimental data por Lagergren, JH, Nardini, JT, Baker, RE, Simpson, MJ, Flores, KB

Identifiability analysis for stochastic differential equation models in systems biology por Browning, AP, Warne, DJ, Burrage, K, Baker, RE, Simpson, MJ

Efficient inference and identifiability analysis for differential equation models with random parameters por Browning, AP, Drovandi, C, Turner, IW, Jenner, AL, Simpson, MJ

Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models por Simpson, MJ, Baker, RE, Buenzli, PR, Nicholson, R, Maclaren, OJ

Parameter identifiability and model selection for sigmoid population growth models por Simpson, MJ, Browning, AP, Warne, DJ, Maclaren, OJ, Baker, RE

Profile likelihood analysis for a stochastic model of diffusion in heterogeneous media por Simpson, MJ, Browning, AP, Drovandi, C, Carr, EJ, Maclaren, OJ, Baker, RE