24 citations · 60 across the 14 of their papers we have counts for
5 papers · 1 filter
Selecting a significance level in sequential testing procedures for community detection
Riddhi Pratim Ghosh, Ian Barnett
While there have been numerous sequential algorithms developed to estimate community structure in networks, there is little available guidance and study of what significance level…
Confidence Intervals for the Number of Components in Factor Analysis and Principal Components Analysis via Subsampling
Chetkar Jha, Ian Barnett
Factor analysis (FA) and principal component analysis (PCA) are popular statistical methods for summarizing and explaining the variability in multivariate datasets. By default, FA…
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity
Shiyun Xu, Zhiqi Bu, Pratik Chaudhari +1
Interpretable machine learning has demonstrated impressive performance while preserving explainability. In particular, neural additive models (NAM) offer the interpretability to th…
Multiple Hypothesis Testing To Estimate The Number of Communities in Sparse Stochastic Block Models
Chetkar Jha, Mingyao Li, Ian Barnett
Network-based clustering methods frequently require the number of communities to be specified \emph{a priori}. Moreover, most of the existing methods for estimating the number of c…
Combining Mixed Effects Hidden Markov Models with Latent Alternating Recurrent Event Processes to Model Diurnal Active-Rest Cycles
Benny Ren, Ian Barnett
Data collected from wearable devices and smartphones can shed light on an individual's pattern of behavioral and circadian routine. Phone use can be modeled as alternating event pr…