6 citations · 8 across the 10 of their papers we have counts for
3 papers · 1 filter
Statistical Learning for Fluid Flows: Sparse Fourier divergence-free approximations
Luis Espath, Dmitry Kabanov, Jonas Kiessling +1
We reconstruct the velocity field of incompressible flows given a finite set of measurements. For the spatial approximation, we introduce the Sparse Fourier divergence-free (SFdf)…
Analysis of a class of Multi-Level Markov Chain Monte Carlo algorithms based on Independent Metropolis-Hastings
Juan Pablo Madrigal-Cianci, Fabio Nobile, Raul Tempone
In this work, we present, analyze, and implement a class of Multi-Level Markov chain Monte Carlo (ML-MCMC) algorithms based on independent Metropolis-Hastings proposals for Bayesia…
Efficient Importance Sampling for Large Sums of Independent and Identically Distributed Random Variables
Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Gerardo Rubino +1
We discuss estimating the probability that the sum of nonnegative independent and identically distributed random variables falls below a given threshold, i.e., $\mathbb{P}(\sum_{i=…