2 citations · 2 across the 5 of their papers we have counts for
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Random Invariance Testing on Quadratic Form Statistics with Application to Autocorrelation
Amitakshar Biswas, Adam B Kashlak
Randomization testing with permutations is a very common nonparametric approach to hypothesis testing. However, randomization testing can be done with other group transformations i…
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…
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…