Statistics for high-dimensional testing, estimation, and machine learning for neuroscience data and connectomics

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NeuroData Hackashop 2019

Check out our code of conduct here.

The weeklong workshop to be held held Aug 19-23 has three main objectives -- sharing the theory and intuition behind a myriad of powerful methods we have developed over the past ten years, showcasing the applicability of these methods on relevant problems and datasets, and helping our collaborators and community use these methods for their own work. Each day we will focus on a cohesive collection of tools with the three main objectives in mind. We specifically encourage and support the inclusion of women and under-represented minorities.

Each day will be something like:

 

Time

Event

8:45am

Breakfast

9:30am

Lecture on Theory and Methods

10:30am

Coffee

11:00am

Demo/Tutorial and Code and Applications

12:00pm

Lunch

1:30pm

Hacking

3:00pm

Snacking

3:30-5:00pm

Hacking

6:30pm

Dinner ("on your own"; but let's hang out!)

8:00pm

Fun stuff (again "on your own"; but let's continue to hang out!)


And the following weekly schedule: 

Monday 8/19

Tuesday 8/20

Wednesday 8/21

Thursday 8/22

Friday 8/23

High dimensional hypothesis testing


https://neurodata.io/mgc

Decision forest for classification, regression and more

 

https://neurodata.io/rerf/

Statistical Inference on graphs

 

https://neurodata.io/graspy/

Diffusion and functional MRI connectome estimation

 

 https://neurodata.io/ndmg/

Nonlinear registration

 

https://neurodata.io/ndreg/

 

Some relevant slide decks and websites:

MGC - https://neurodata.io/talks/mgc.html#1

SpORF - https://github.com/neurodata/ndworkshop19/blob/master/sporf/README.md

GraSPy - https://neurodata.io/talks/ndworkshop_graphs.html

Gigantum slides: https://github.com/neurodata/ndworkshop19/blob/master/Gigantum_intro.pdf

Gigantum download: https://neurodata.gigantumdemo.com/

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