27 citations · 119 across the 23 of their papers we have counts for
26 papers
Root and community inference on the latent growth process of a network
Harry Crane, Min Xu
Many existing statistical models for networks overlook the fact that many real world networks are formed through a growth process. To address this, we introduce the PAPER (Preferen…
Inference on the History of a Randomly Growing Tree
Harry Crane, Min Xu
The spread of infectious disease in a human community or the proliferation of fake news on social media can be modeled as a randomly growing tree-shaped graph. The history of the r…
Why "Redefining Statistical Significance" Will Not Improve Reproducibility and Could Make the Replication Crisis Worse
Harry Crane
A recent proposal to "redefine statistical significance" (Benjamin, et al. Nature Human Behaviour, 2017) claims that false positive rates "would immediately improve" by factors gre…
Rethinking probabilistic prediction in the wake of the 2016 U.S. presidential election
Harry Crane, Ryan Martin
To many statisticians and citizens, the outcome of the most recent U.S. presidential election represents a failure of data-driven methods on the grandest scale. This impression has…
Combinatorial Levy processes
Harry Crane
Combinatorial Levy processes evolve on general state spaces of countable combinatorial structures. In this setting, the usual Levy process properties of stationary, independent inc…
The probability of avoiding consecutive patterns in the Mallows distribution
Harry Crane, Stephen DeSalvo, Sergi Elizalde
We use various combinatorial and probabilistic techniques to study growth rates for the probability that a random permutation from the Mallows distribution avoids consecutive patte…