activity
20142024
most citedA Bayesian hierarchical spatial point process model for multi-type neuroimaging meta-analysis

28 citations · 33 across the 5 of their papers we have counts for

collaborators

7 papers

q-bio.NC2024★ 3 cited

Somatosensory and motor contributions to emotion representation

Marianne C. Reddan, Luke Chang, Philip Kragel +1

Emotion is often described as something people 'feel' in their bodies. Embodied emotion theorists propose that this connection is not purely linguistic; perceiving an emotion may r…

q-bio.NC2021★ 1 cited

Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips

Ashutosh Singh, Christiana Westlin, Hedwig Eisenbarth +7

For the last several decades, emotion research has attempted to identify a "biomarker" or consistent pattern of brain activity to characterize a single category of emotion (e.g., f…

cs.IR2021

Recovering individual emotional states from sparse ratings using collaborative filtering

Eshin Jolly, Max Farrens, Nathan Greenstein +5

A fundamental challenge in emotion research is measuring feeling states with high granularity and temporal precision without disrupting the emotion generation process. Here we intr…

math.ST2019

Super-Consistent Estimation of Points of Impact in Nonparametric Regression with Functional Predictors

Dominik Poß, Dominik Liebl, Alois Kneip +3

Predicting scalar outcomes using functional predictors is a classic problem in functional data analysis. In many applications, however, only specific locations or time-points of th…

stat.ME2016★ 1 cited

Spatial Bayesian Latent Factor Regression Modeling of Coordinate-based Meta-analysis Data

Silvia Montagna, Tor Wager, Lisa Feldman-Barrett +2

Now over 20 years old, functional MRI (fMRI) has a large and growing literature that is best synthesised with meta-analytic tools. As most authors do not share image data, only the…

stat.ME2015

High-dimensional Multivariate Mediation: with Application to Neuroimaging Data

Oliver Y. Chén, Ciprian M. Crainiceanu, Elizabeth L. Ogburn +3

Mediation analysis has become an important tool in the behavioral sciences for investigating the role of intermediate variables that lie in the path between a randomized treatment…