Showing 1–16 of 16 results
/ Date/ Name
Sep 27, 2019Bayesian decision-theoretic design of experiments under an alternative modelAug 20, 2016An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functionsMar 19, 2018Bayesian design of experiments for intractable likelihood models using coupled auxiliary models and multivariate emulationMar 30, 2017Quantifying Uncertainty in Transdimensional Markov Chain Monte Carlo Using Discrete Markov ModelsDec 5, 2013PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction ApproachMar 11, 2019A synthetic likelihood-based Laplace approximation for efficient design of biological processesJun 19, 2016Bayesian design of experiments for generalised linear models and dimensional analysis with industrial and scientific applicationMar 1, 2021General Bayesian L2 calibration of mathematical modelsDec 19, 2019A framework for parsing heritable informationNov 3, 2019Bayesian adaptive N-of-1 trials for estimating population and individual treatment effectsOct 13, 2024State of NLP in Kenya: A SurveyOct 18, 2021Optimal design of dynamic experiments for scalar-on-function linear models with application to a biopharmaceutical studyDec 20, 2022Robust simulation design for generalized linear models in conditions of heteroscedasticity or correlationMar 16, 2020Properties of using Fisher information gain for Bayesian design of experimentsMar 2, 2023A general Bayesian approach to design adaptive clinical trials with time-to-event outcomesOct 26, 2023Gibbs optimal design of experiments