48 citations · 413 across the 59 of their papers we have counts for
4 papers · 1 filter
How biased is your model? Concentration Inequalities, Information and Model Bias
Konstantinos Gourgoulias, Markos A. Katsoulakis, Luc Rey-Bellet +1
We derive tight and computable bounds on the bias of statistical estimators, or more generally of quantities of interest, when evaluated on a baseline model P rather than on the ty…
Scalable Information Inequalities for Uncertainty Quantification
Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang
In this paper we demonstrate the only available scalable information bounds for quantities of interest of high dimensional probabilistic models. Scalability of inequalities allows…
Parametric Sensitivity Analysis for Stochastic Molecular Systems using Information Theoretic Metrics
Anastasios Tsourtis, Yannis Pantazis, Markos A. Katsoulakis +1
In this paper we extend the parametric sensitivity analysis (SA) methodology proposed in Ref. [Y. Pantazis and M. A. Katsoulakis, J. Chem. Phys. 138, 054115 (2013)] to continuous t…
Parametric Sensitivity Analysis for Biochemical Reaction Networks based on Pathwise Information Theory
Yannis Pantazis, Markos A. Katsoulakis, Dionisios G. Vlachos
Stochastic modeling and simulation provide powerful predictive methods for the intrinsic understanding of fundamental mechanisms in complex biochemical networks. Typically, such ma…