1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2023
Functional Connectivity: Continuous-Time Latent Factor Models for Neural Spike Trains
Meixi Chen, Martin Lysy, David Moorman +1
Modelling the dynamics of interactions in a neuronal ensemble is an important problem in functional connectivity research. One popular framework is latent factor models (LFMs), whi…
stat.ME2022
A Multivariate Point Process Model for Simultaneously Recorded Neural Spike Trains
Reza Ramezan, Meixi Chen, Martin Lysy +1
The current state-of-the-art in neurophysiological data collection allows for simultaneous recording of tens to hundreds of neurons, for which point processes are an appropriate st…
stat.ME2021★ 1 cited
Fast and Scalable Inference for Spatial Extreme Value Models
Meixi Chen, Reza Ramezan, Martin Lysy
The generalized extreme value (GEV) distribution is a popular model for analyzing and forecasting extreme weather data. To increase prediction accuracy, spatial information is ofte…