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Damian Brzyski

Showing results (1-10 of 8) with videos related to

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Journal of the American Statistical Association|June 21, 2019
Group SLOPE - adaptive selection of groups of predictorsDamian Brzyski, Alexej Gossmann, Weijie Su, et al.
Quantitative Finance|April 25, 2022
Sparse Index Clones via the sorted <i>ℓ</i> <sub>1</sub> - NormPhilipp J Kremer, Damian Brzyski, Małgorzata Bogdan, et al.
IEEE Transactions on Bio-Medical Engineering|November 23, 2023
Matrix-Variate Regression for Sparse, Low-Rank Estimation of Brain Connectivities Associated With a Clinical OutcomeDamian Brzyski, Xixi Hu, Joaquin Goni, et al.
Genetics|October 28, 2016
Controlling the Rate of GWAS False DiscoveriesDamian Brzyski, Christine B Peterson, Piotr Sobczyk, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 11, 2018
A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate ControlAlexej Gossmann, Shaolong Cao, Damian Brzyski, et al.
Frontiers in Neuroscience|October 17, 2022
Incorporation of spatial- and connectivity-based cortical brain region information in regularized regression: Application to Human Connectome Project dataAleksandra Steiner, Kausar Abbas, Damian Brzyski, et al.
The Canadian Journal of Statistics = Revue Canadienne De Statistique|January 10, 2022
Connectivity-informed adaptive regularization for generalized outcomesDamian Brzyski, Marta Karas, Beau M Ances, et al.
Statistics in Biosciences|June 21, 2019
Brain connectivity-informed regularization methods for regressionMarta Karas, Damian Brzyski, Mario Dzemidzic, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of the American Statistical Association|June 21, 2019
Group SLOPE - adaptive selection of groups of predictorsDamian Brzyski, Alexej Gossmann, Weijie Su, et al.
Quantitative Finance|April 25, 2022
Sparse Index Clones via the sorted <i>ℓ</i> <sub>1</sub> - NormPhilipp J Kremer, Damian Brzyski, Małgorzata Bogdan, et al.
IEEE Transactions on Bio-Medical Engineering|November 23, 2023
Matrix-Variate Regression for Sparse, Low-Rank Estimation of Brain Connectivities Associated With a Clinical OutcomeDamian Brzyski, Xixi Hu, Joaquin Goni, et al.
Genetics|October 28, 2016
Controlling the Rate of GWAS False DiscoveriesDamian Brzyski, Christine B Peterson, Piotr Sobczyk, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 11, 2018
A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate ControlAlexej Gossmann, Shaolong Cao, Damian Brzyski, et al.
Frontiers in Neuroscience|October 17, 2022
Incorporation of spatial- and connectivity-based cortical brain region information in regularized regression: Application to Human Connectome Project dataAleksandra Steiner, Kausar Abbas, Damian Brzyski, et al.
The Canadian Journal of Statistics = Revue Canadienne De Statistique|January 10, 2022
Connectivity-informed adaptive regularization for generalized outcomesDamian Brzyski, Marta Karas, Beau M Ances, et al.
Statistics in Biosciences|June 21, 2019
Brain connectivity-informed regularization methods for regressionMarta Karas, Damian Brzyski, Mario Dzemidzic, et al.
Pageof 1