Concept
Quasi-likelihood
Related publications (25)
Boosting likelihood learning with event reweighting
Andrea Wulzer, Alfredo Glioti, Siyu Chen
Extracting maximal information from experimental data requires access to the likelihood function, which however is never directly available for complex experiments like those performed at high energy colliders. Theoretical predictions are obtained in this ...
Springer2024An experimental and analytical study of wind turbine wakes under pressure gradient
Fernando Porté Agel, Arslan Salim Dar, Abraham Starbuck Gertler
This work is dedicated to the systematic investigation of wind turbine wakes under the effect of pressure gradients. Wind tunnel experiments are carried out with a wind turbine positioned on straight ramps of increasing angle such that it experiences an ap ...
2023Fitting summary statistics of neural data with a differentiable spiking network simulator
Wulfram Gerstner, Johanni Michael Brea, Alireza Modirshanechi, Shuqi Wang
Fitting network models to neural activity is an important tool in neuroscience. A popular approach is to model a brain area with a probabilistic recurrent spiking network whose parameters maximize the likelihood of the recorded activity. Although this is w ...
2021Max-infinitely divisible models and inference for spatial extremes
Emeric Rolland Georges Thibaud, Raphaël Huser
For many environmental processes, recent studies have shown that the dependence strength is decreasing when quantile levels increase. This implies that the popular max-stable models are inadequate to capture the rate of joint tail decay, and to estimate jo ...
WILEY2020