32 citations · 38 across the 4 of their papers we have counts for
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Assumption-Lean Inference for Spectral Differential Network Analysis of High-Dimensional Time Series
Michael Hellstern, Byol Kim, Ali Shojaie
Network analysis for multivariate time series is popular in many fields, from neuroscience to seismology. The inverse spectral density is a common choice for time series network an…
Spectral Differential Network Analysis for High-Dimensional Time Series
Michael Hellstern, Byol Kim, Zaid Harchaoui +1
Spectral networks derived from multivariate time series data arise in many domains, from brain science to Earth science. Often, it is of interest to study how these networks change…
Predictive Inference Is Free with the Jackknife+-after-Bootstrap
Byol Kim, Chen Xu, Rina Foygel Barber
Ensemble learning is widely used in applications to make predictions in complex decision problems---for example, averaging models fitted to a sequence of samples bootstrapped from…
Two-sample inference for high-dimensional Markov networks
Byol Kim, Song Liu, Mladen Kolar
Markov networks are frequently used in sciences to represent conditional independence relationships underlying observed variables arising from a complex system. It is often of inte…