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Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|May 13, 2015
An fMRI-Based Neural Signature of Decisions to Smoke CannabisGillinder Bedi, Martin A Lindquist, Margaret HaneyNeuroimage|May 6, 2017
A Bayesian heteroscedastic GLM with application to fMRI data with motion spikesAnders Eklund, Martin A Lindquist, Mattias VillaniBiostatistics (Oxford, England)|May 5, 2021
Single-index models with functional connectivity network predictorsCaleb Weaver, Luo Xiao, Martin A LindquistNeuroimage|May 7, 2021
Moderated t-tests for group-level fMRI analysisGuoqing Wang, John Muschelli, Martin A LindquistStatistics in Medicine|July 6, 2018
Bayesian inference under cluster sampling with probability proportional to sizeSusanna Makela, Yajuan Si, Andrew GelmanJournal of Survey Statistics and Methodology|April 11, 2023
Inference from Nonrandom Samples Using Bayesian Machine LearningYutao Liu, Andrew Gelman, Qixuan ChenIEEE Transactions on Signal Processing : a Publication of the IEEE Signal Processing Society|October 31, 2024
A tensor based varying-coefficient model for multi-modal neuroimaging data analysisPratim Guha Niyogi, Martin A Lindquist, Tapabrata MaitiNeuroimage|January 1, 2021
Evaluating phase synchronization methods in fMRI: A comparison study and new approachesHamed Honari, Ann S Choe, Martin A LindquistComputational Statistics & Data Analysis|September 1, 2020
Sparse Principal Component based High-Dimensional Mediation AnalysisYi Zhao, Martin A Lindquist, Brian S CaffoNeuroimage|March 16, 2007
Modeling state-related fMRI activity using change-point theoryMartin A Lindquist, Christian Waugh, Tor D WagerPageof 22