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stat.ME2022★ 2 cited
COMBSS: Best Subset Selection via Continuous Optimization
Sarat Moka, Benoit Liquet, Houying Zhu +1
The problem of best subset selection in linear regression is considered with the aim to find a fixed size subset of features that best fits the response. This is particularly chall…
stat.ME2022
Nonstationary Spatial Process Models with Spatially Varying Covariance Kernels
Sébastien Coube-Sisqueille, Sudipto Banerjee, Benoît Liquet
Building spatial process models that capture nonstationary behavior while delivering computationally efficient inference is challenging. Nonstationary spatially varying kernels (se…