An optimal Bayesian regularization for force reconstruction problems
Sign Up to like & getrecommendations! Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.02.021
Abstract: In a paper, recently published in Mechanical Systems and Signal Processing, we have proposed a full Bayesian inference for reconstructing mechanical sources acting on a linear and time invariant structure. The main interest of this… read more here.
Keywords: optimal bayesian; reconstruction problems; regularization; force reconstruction ... See more keywords
PMED: Optimal Bayesian Platform Trial Design with Multiple Endpoints
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2022.2080692
Abstract: ABSTRACT In oncology drug development, indication selection and optimal dose identification are the primary objectives for the early phase of clinical trials and could significantly impact the probability of success. Master protocols, e.g., basket trial,… read more here.
Keywords: optimal bayesian; platform trial; trial; design ... See more keywords
Learning Convex Regularizers for Optimal Bayesian Denoising
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2017.2777407
Abstract: We propose a data-driven algorithm for the Bayesian estimation of stochastic processes from noisy observations. The primary statistical properties of the sought signal are specified by the penalty function (i.e., negative logarithm of the prior… read more here.
Keywords: optimal bayesian; penalty function; learning convex; convex regularizers ... See more keywords