2 papers
stat.CO2021
Efficient posterior sampling for Bayesian Poisson regression
Laura D'Angelo, Antonio Canale
Poisson log-linear models are ubiquitous in many applications, and one of the most popular approaches for parametric count regression. In the Bayesian context, however, there are n…
stat.AP2021
Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data
Laura D'Angelo, Antonio Canale, Zhaoxia Yu +1
Recent advancements in miniaturized fluorescence microscopy have made it possible to investigate neuronal responses to external stimuli in awake behaving animals through the analys…