2 citations · 2 across the 4 of their papers we have counts for
5 papers
Topological Hidden Markov Models
Adam B Kashlak, Prachi Loliencar, Giseon Heo
The hidden Markov model (HMM) is a classic modeling tool with a wide swath of applications. Its inception considered observations restricted to a finite alphabet, but it was quickl…
Local Statistics for Spatial Panel Models with Application to the US Electorate
Jianfeng Wang, Adam B Kashlak
The spatial panel regression model has shown great success in modelling econometric and other types of data that are observed both spatially and temporally with associated predicto…
A reproducing kernel Hilbert space framework for functional data classification
Peijun Sang, Adam B Kashlak, Linglong Kong
We encounter a bottleneck when we try to borrow the strength of classical classifiers to classify functional data. The major issue is that functional data are intrinsically infinit…
Diagnosis of Pediatric Obstructive Sleep Apnea via Face Classification with Persistent Homology and Convolutional Neural Networks
Milad Kiaee, Adam B Kashlak, Jisu Kim +1
Obstructive sleep apnea is a serious condition causing a litany of health problems especially in the pediatric population. However, this chronic condition can be treated if diagnos…
Non-asymptotic error controlled sparse high dimensional precision matrix estimation
Adam B Kashlak
Estimation of a high dimensional precision matrix is a critical problem to many areas of statistics including Gaussian graphical models and inference on high dimensional data. Work…