A Series of Tutorials We wrote to explain the JointS GM tools we built for extracting connectomes from heterogeneous samples

So far, we have released the following Tutorials:

No.	Tutorial Name
1	Review I: Probability Foundations
2	Review II: Gaussian Graphical Model Basics
3	Review III: Markov Random Field and Log Linear Model
4	Review IV: A Unified Framework for M-estimaotr and Elementary Estimators
5	Review V: Sparse Gaussian Graphical Model estimators
6	Review VI: Multi-task sGGMs and optimization challenges
7	Review VII: Multi-task sGGMs estimators
8	Review VIII: Three metrics for evaluating estimators/learners
9	Reviews: Combined all Tutorials for Joint-sGGMs
10	201807-Beilun-Defense Talk
11	2018-BeilunDefense + 2017-AllJointGGTutorials

Contact

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Thanks for reading!