Yunran Chen

A single neuron may encode information by fluctuating between two stimuli from trials to trials, or present a ’time division multiplexing’ within a trial. Such turn-taking activities presented by individuals are shown to present a coordination pattern in neural population. We aim to develop statistical methods and models to explore how neuron population coordinate to preserve multiple simultaneously presented stimuli.

We aim to summarize advanced statistical approaches for analysis of complex mixtures and knit them to R tutorials to make them accessible to researchers without extensive statistics or mathematics backgrounds. This will include online tutorials to introduce advanced statistical approaches to scientists and to provide examples of their use using national survey data..

Present a poster in the 2022 World Meeting of the Society for Bayesian Analysis (ISBA 2022)

Present a poster in the Bocconi Summer School 2019

I would love to encourage students to think in statistical way, transmit what they have learned to real-world practice, interpret and communicate of these statistical models and methods. I would encourage cognitive learning, collaborative learning and cooperative learning.

A collections of intuitions and notes behind statistics and mathematics.