activity
20072023
most citedMAP Estimators and Their Consistency in Bayesian Nonparametric Inverse Problems

162 citations · 275 across the 13 of their papers we have counts for

collaborators

14 papers

math.AP2023

Stability of particle trajectories of scalar conservation laws and applications in Bayesian inverse problems

Masoumeh Dashti, Duc-Lam Duong

We consider the scalar conservation law in one space dimension with a genuinely nonlinear flux. We assume that an appropriate velocity function depending on the entropy solution of…

q-bio.PE2021

Probabilistic predictions of SIS epidemics on networks based on population-level observations

Tanja Zerenner, Francesco Di Lauro, Masoumeh Dashti +2

We predict the future course of ongoing susceptible-infected-susceptible (SIS) epidemics on regular, Erdős-Rényi and Barabási-Albert networks. It is known that the contact network…

math.ST2020

Nonparametric Bayesian inference of discretely observed diffusions

Jean-Charles Croix, Masoumeh Dashti, Istvàn Zoltàn Kiss

We consider the problem of the Bayesian inference of drift and diffusion coefficient functions in a stochastic differential equation given discrete observations of a realisation of…

q-bio.PE2019★ 1 cited

Network Inference from Population-Level Observation of Epidemics

F. Di Lauro, J. -C. Croix, M. Dashti +2

Using the continuous-time susceptible-infected-susceptible (SIS) model on networks, we investigate the problem of inferring the class of the underlying network when epidemic data i…

math.ST2018

Rates of contraction of posterior distributions based on -exponential priors

Sergios Agapiou, Masoumeh Dashti, Tapio Helin

We consider a family of infinite dimensional product measures with tails between Gaussian and exponential, which we call -exponential measures. We study their measure-theoretic…

math.ST2017★ 41 cited

Sparsity-promoting and edge-preserving maximum a posteriori estimators in non-parametric Bayesian inverse problems

Sergios Agapiou, Martin Burger, Masoumeh Dashti +1

We consider the inverse problem of recovering an unknown functional parameter in a separable Banach space, from a noisy observation of its image through a known possibly no…