11 papers
Blind hierarchical deconvolution
Arttu Arjas, Lassi Roininen, Mikko J. Sillanpää +1
Deconvolution is a fundamental inverse problem in signal processing and the prototypical model for recovering a signal from its noisy measurement. Nevertheless, the majority of mod…
Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion
Muhammad Emzir, Sari Lasanen, Zenith Purisha +2
In this article, we study Bayesian inverse problems with multi-layered Gaussian priors. We first describe the conditionally Gaussian layers in terms of a system of stochastic parti…
Bayesian quantification for coherent anti-Stokes Raman scattering spectroscopy
Teemu Härkönen, Lassi Roininen, Matthew T. Moores +1
We propose a Bayesian statistical model for analyzing coherent anti-Stokes Raman scattering (CARS) spectra. Our quantitative analysis includes statistical estimation of constituent…
Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods
Jarkko Suuronen, Muhammad Emzir, Sari Lasanen +2
X-ray tomography has applications in various industrial fields such as sawmill industry, oil and gas industry, chemical engineering, and geotechnical engineering. In this article,…
Brexit Risk Implied by the SABR Martingale Defect in the EUR-GBP Smile
Petteri Piiroinen, Lassi Roininen, Martin Simon
We construct a data-driven statistical indicator for quantifying the tail risk perceived by the EURGBP option market surrounding Brexit-related events. We show that under lognormal…
A Bayesian-based approach to improving acoustic Born waveform inversion of seismic data for viscoelastic media
Kenneth Muhumuza, Lassi Roininen, Janne M. J. Huttunen +1
In seismic waveform inversion, the reconstruction of the subsurface properties is usually carried out using approximative wave propagation models to ensure computational efficiency…