Event triggered signalling codecs for molecular estimation. - Kris V. Parag; Glenn Vinnicombe (CDC, 2013)

Single event molecular signalling for estimation and control. - Kris V. Parag; Glenn Vinnicombe (ECC, 2013)

Point process analysis of noise in early invertebrate vision. - Kris V. Parag; Glenn Vinnicombe (PLoS Comput. Biol., 2017)

Exact Bayesian inference for phylogenetic birth-death models. - Kris V. Parag; Oliver G. Pybus (Bioinform., 2018)

Using information theory to optimise epidemic models for real-time prediction and estimation. - Kris V. Parag; Christl A. Donnelly (PLoS Comput. Biol., 2020)

An exact method for quantifying the reliability of end-of-epidemic declarations in real time. - Kris V. Parag; Christl A. Donnelly; Rahul Jha; Robin N. Thompson (PLoS Comput. Biol., 2020)

Improved estimation of time-varying reproduction numbers at low case incidence and between epidemic waves. - Kris V. Parag (PLoS Comput. Biol., 2021)

Quantifying the information in noisy epidemic curves. - Kris V. Parag; Christl A. Donnelly; Alexander Eugene Zarebski (Nat. Comput. Sci., 2022)

Fundamental limits on inferring epidemic resurgence in real time using effective reproduction numbers. - Kris V. Parag; Christl A. Donnelly (PLoS Comput. Biol., 2022)

A computationally tractable birth-death model that combines phylogenetic and epidemiological data. - Alexander Eugene Zarebski; Louis du Plessis; Kris V. Parag; Oliver George Pybus (PLoS Comput. Biol., 2022)

Risk averse reproduction numbers improve resurgence detection. - Kris V. Parag; Uri Obolski (PLoS Comput. Biol., 2023)

Optimal feedback policies in stochastic epidemic models. - Giovanni Pugliese Carratelli; Xiaodong Cheng; Kris V. Parag; Ioannis Lestas (CDC, 2024)