Concentration InequalitiesCovers concentration inequalities and sampling methods for estimating unknown distributions, with a focus on population infection rates.
Node Degree and StrengthExplores node degree and strength in network neuroscience, discussing random vs real networks and the challenges of fitting power laws to real data.
Distribution EstimationCovers the estimation of distributions using various methods such as minimum loss and expectation.
Data Issues in ResearchExplores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.
