Robust and scalable Bayesian analysis of spatial neural tuning function data

DOI10.1214/16-AOAS996zbMath1391.62243arXiv1606.07845OpenAlexW2964075586MaRDI QIDQ2404429

Kamiar Rahnama Rad, Timothy A. Machado, Liam Paninski

Publication date: 18 September 2017

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1606.07845

zbMATH Keywords

spatial statisticscomputational neuroscienceBayesianposterior samplingblock Gibbs samplerscalability and robustness

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Neural biology (92C20)

This page was built for publication: Robust and scalable Bayesian analysis of spatial neural tuning function data