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Martin A Lindquist

Showing results (21-30 of 149) with videos related to

Pageof 15
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Biometrics|May 21, 2026
Detection of multiple influential observations on model selectionDongliang Zhang, Masoud Asgharian, Martin A Lindquist
Human Brain Mapping|December 21, 2022
Enhanced hyperalignment via spatial prior informationAngela Andreella, Livio Finos, Martin A Lindquist
Neuroimage|January 31, 2017
Assessing uncertainty in dynamic functional connectivityMaria Kudela, Jaroslaw Harezlak, Martin A Lindquist
Neuroimage|April 17, 2013
Ironing out the statistical wrinkles in "ten ironic rules"Martin A Lindquist, Brian Caffo, Ciprian Crainiceanu
Biostatistics (Oxford, England)|October 8, 2023
Improved fMRI-based pain prediction using Bayesian group-wise functional registrationGuoqing Wang, Abhirup Datta, Martin A Lindquist
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 Haney
Neuroimage|May 6, 2017
A Bayesian heteroscedastic GLM with application to fMRI data with motion spikesAnders Eklund, Martin A Lindquist, Mattias Villani
Biostatistics (Oxford, England)|May 5, 2021
Single-index models with functional connectivity network predictorsCaleb Weaver, Luo Xiao, Martin A Lindquist
Neuroimage|May 7, 2021
Moderated t-tests for group-level fMRI analysisGuoqing Wang, John Muschelli, Martin A Lindquist
IEEE 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 Maiti
Pageof 15

Showing results (21-30 of 149) with videos related to

Sort By:
Pageof 15
Biometrics|May 21, 2026
Detection of multiple influential observations on model selectionDongliang Zhang, Masoud Asgharian, Martin A Lindquist
Human Brain Mapping|December 21, 2022
Enhanced hyperalignment via spatial prior informationAngela Andreella, Livio Finos, Martin A Lindquist
Neuroimage|January 31, 2017
Assessing uncertainty in dynamic functional connectivityMaria Kudela, Jaroslaw Harezlak, Martin A Lindquist
Neuroimage|April 17, 2013
Ironing out the statistical wrinkles in "ten ironic rules"Martin A Lindquist, Brian Caffo, Ciprian Crainiceanu
Biostatistics (Oxford, England)|October 8, 2023
Improved fMRI-based pain prediction using Bayesian group-wise functional registrationGuoqing Wang, Abhirup Datta, Martin A Lindquist
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 Haney
Neuroimage|May 6, 2017
A Bayesian heteroscedastic GLM with application to fMRI data with motion spikesAnders Eklund, Martin A Lindquist, Mattias Villani
Biostatistics (Oxford, England)|May 5, 2021
Single-index models with functional connectivity network predictorsCaleb Weaver, Luo Xiao, Martin A Lindquist
Neuroimage|May 7, 2021
Moderated t-tests for group-level fMRI analysisGuoqing Wang, John Muschelli, Martin A Lindquist
IEEE 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 Maiti
Pageof 15