3 citations · 6 across the 3 of their papers we have counts for
3 papers
stat.CO2022★ 3 cited
Component-wise iterative ensemble Kalman inversion for static Bayesian models with unknown measurement error covariance
Imke Botha, Matthew P. Adams, Dang Khuong Tran +2
The ensemble Kalman filter (EnKF) is a Monte Carlo approximation of the Kalman filter for high dimensional linear Gaussian state space models. EnKF methods have also been developed…
stat.ME2022★ 3 cited
Integral, mean and covariance of the simplex-truncated multivariate normal distribution
Matthew P. Adams
Compositional data, which is data consisting of fractions or probabilities, is common in many fields including ecology, economics, physical science and political science. If these…
cs.MS2019
differint: A Python Package for Numerical Fractional Calculus
Matthew Adams
Fractional calculus has become widely studied and applied to physical problems in recent years. As a result, many methods for the numerical computation of fractional derivatives an…