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WGUnderwood.bib
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% WGUnderwood.bib
% -------------------------------------------------------------
% Key format is
% Author1Author2_Year_ShortTitle
% articles
% -------------------------------------------------------------
@article{CattaneoFengUnderwood_2024_DyadicKDE,
author = {Cattaneo, Matias Damian and Feng, Yingjie
and Underwood, William George},
title = {Uniform Inference for Kernel Density Estimators with Dyadic Data},
year = {2024},
volume = {119},
number = {548},
pages = {2695--2708},
publisher={Taylor \& Francis},
journal = {Journal of the American Statistical Association},
doi = {10.1080/01621459.2023.2272785},
URL = {https://doi.org/10.1080/01621459.2023.2272785},
eprint = {https://doi.org/10.1080/01621459.2023.2272785}
}
@article{UnderwoodElliottCucuringu_2020_Motifs,
author = {Underwood, William George and Elliott, Andrew
and Cucuringu, Mihai},
title = {Motif-Based Spectral Clustering of Weighted Directed Networks},
journal = {Applied Network Science},
volume = {5},
number = {62},
year = {2020},
publisher = {Springer},
note = {\href{https://doi.org/10.1007/s41109-020-00293-z}{
\texttt{doi:10.1007/s41109-020-00293-z}}},
}
@article{SmallmanUnderwoodArtemiou_2019_SimplePoissonPCA,
author = {Smallman, Luke and Underwood, William George
and Artemiou, Andreas},
title = {Simple {Poisson} {PCA}:
an algorithm for (sparse) feature extraction
with simultaneous dimension determination},
journal = {Computational Statistics},
year = {2019},
publisher = {Springer},
volume = {35},
pages = {559–577},
note = {\href{https://doi.org/10.1007/s00180-019-00903-0}{
\texttt{doi:10.1007/s00180-019-00903-0}}},
}
% preprints
% -------------------------------------------------------------
@article{CattaneoMasiniUnderwood_2022_Martingales,
author = {Cattaneo, Matias Damian and Masini, Ricardo Pereira
and Underwood, William George},
title = {{Yurinskii's} Coupling for Martingales},
eprint={2210.00362},
primaryClass={math.ST},
year = {2022},
journal = {\textup{\href{https://arxiv.org/abs/2210.00362}{
\texttt{arXiv{:}{\allowbreak}2210.00362}}}},
note = {Annals of Statistics, revise and resubmit}
}
@article{CattaneoKlusowskiUnderwood_2023_Forests,
author = {Cattaneo, Matias Damian and Klusowski, Jason M
and Underwood, William George},
title = {Inference with {Mondrian} Random Forests},
journal = {\textup{\href{https://arxiv.org/abs/2310.09702}{
\texttt{arXiv{:}{\allowbreak}2310.09702}}}},
year = {2023},
note = {Annals of Statistics, revise and resubmit}
}
% software
% -------------------------------------------------------------
@misc{UnderwoodElliott_2020_motifcluster,
author = {Underwood, William George and Elliott, Andrew},
title = {motifcluster:
motif-based spectral clustering of weighted directed networks
in {R}, {Python} and {Julia}},
year = {2020},
note = {GitHub: \href{https://github.com/WGUNDERWOOD/motifcluster}{
\texttt{https://github.com/WGUNDERWOOD/motifcluster}}},
}
@misc{Underwood_2022_DyadicKDE,
author = {Underwood, William George},
title = {{DyadicKDE}:
dyadic kernel density estimation in {Julia}},
year = {2022},
note = {GitHub: \href{https://github.com/WGUNDERWOOD/DyadicKDE.jl}{
\texttt{https://github.com/WGUNDERWOOD/DyadicKDE.jl}}},
}
@misc{Underwood_2023_MondrianForests,
author = {Underwood, William George},
title = {{MondrianForests}:
Mondrian random forests in {Julia}},
year = {2023},
note = {GitHub: \href{https://github.com/WGUNDERWOOD/MondrianForests.jl}{
\texttt{https://github.com/WGUNDERWOOD/MondrianForests.jl}}},
}
% working papers
% -------------------------------------------------------------