activity
20172024
most citedBayesian wavelet de-noising with the caravan prior

3 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ML2024★ 1 cited

Score matching for bridges without learning time-reversals

Elizabeth L. Baker, Moritz Schauer, Stefan Sommer

We propose a new algorithm for learning bridged diffusion processes using score-matching methods. Our method relies on reversing the dynamics of the forward process and using this…

math.PR2024★ 1 cited

Simulating conditioned diffusions on manifolds

Marc Corstanje, Frank van der Meulen, Moritz Schauer +1

To date, most methods for simulating conditioned diffusions are limited to the Euclidean setting. The conditioned process can be constructed using a change of measure known as Doob…

stat.ME2018★ 3 cited

Bayesian wavelet de-noising with the caravan prior

Shota Gugushvili, Frank van der Meulen, Moritz Schauer +1

According to both domain expert knowledge and empirical evidence, wavelet coefficients of real signals tend to exhibit clustering patterns, in that they contain connected regions o…

stat.ME2018★ 3 cited

Fast and scalable non-parametric Bayesian inference for Poisson point processes

Shota Gugushvili, Frank van der Meulen, Moritz Schauer +1

We study the problem of non-parametric Bayesian estimation of the intensity function of a Poisson point process. The observations are independent realisations of a Poisson poin…

math.ST2017★ 3 cited

Nonparametric Bayesian estimation of a Hölder continuous diffusion coefficient

Shota Gugushvili, Frank van der Meulen, Moritz Schauer +1

We consider a nonparametric Bayesian approach to estimate the diffusion coefficient of a stochastic differential equation given discrete time observations over a fixed time interva…