most citedEnsemble weather forecast post-processing with a flexible probabilistic neural network approach

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 4 cited

Ensemble weather forecast post-processing with a flexible probabilistic neural network approach

Peter Mlakar, Janko Merše, Jana Faganeli Pucer

Ensemble forecast post-processing is a necessary step in producing accurate probabilistic forecasts. Conventional post-processing methods operate by estimating the parameters of a…

stat.ME2022

SMIXS: Novel efficient algorithm for non-parametric mixture regression-based clustering

Peter Mlakar, Tapio Nummi, Polona Oblak +1

We investigate a novel non-parametric regression-based clustering algorithm for longitudinal data analysis. Combining natural cubic splines with Gaussian mixture models (GMM), the…