5 papers
Isotropic randomization for one-sample testing in metric spaces
Matthieu Bulté, Helle Sørensen
We address the problem of testing hypotheses about a specific value of the Fréchet mean in metric spaces, extending classical mean testing from Euclidean spaces to more general set…
An Autoregressive Model for Time Series of Random Objects
Matthieu Bulté, Helle Sørensen
Random variables in metric spaces indexed by time and observed at equally spaced time points are receiving increased attention due to their broad applicability. The absence of inhe…
Medoid splits for efficient random forests in metric spaces
Matthieu Bulté, Helle Sørensen
This paper revisits an adaptation of the random forest algorithm for Fréchet regression, addressing the challenge of regression in the context of random objects in metric spaces. R…
Scalable Econometrics on Big Data -- The Logistic Regression on Spark
Aurélien Ouattara, Matthieu Bulté, Wan-Ju Lin +6
Extra-large datasets are becoming increasingly accessible, and computing tools designed to handle huge amount of data efficiently are democratizing rapidly. However, conventional s…
A practical example for the non-linear Bayesian filtering of model parameters
Matthieu Bulté, Jonas Latz, Elisabeth Ullmann
In this tutorial we consider the non-linear Bayesian filtering of static parameters in a time-dependent model. We outline the theoretical background and discuss appropriate solvers…