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Displaying results 1 - 10 / 451
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Publication name
Authors
Publication channel
Year
Horseshoe
prior
Bayesian quantile regression
Peer-reviewed
Open access
DOI
10.1093/jrsssc/qlad091
Kohns, D; Szendrei , Tibor
Journal of the Royal Statistical Society. Series C: Applied Statistics
2023
Sparsity information and regularization in the
horseshoe
and other shrinkage
prior
s
Peer-reviewed
Open access
DOI
10.1214/17-EJS1337SI
Piironen, Juho; Vehtari, Aki
ELECTRONIC JOURNAL OF STATISTICS
2017
Horseshoe
Prior
s for Edge-Preserving Linear Bayesian Inversion
Peer-reviewed
Open access
DOI
10.1137/22M1510364
Uribe Felipe; Dong Yiqiu; Hansen Per Christian
Society for Industrial and Applied Mathematics
2023
On the hyper
prior
choice for the global shrinkage parameter in the
horseshoe
prior
Peer-reviewed
Open access
Piironen, Juho; Vehtari, Aki
Proceedings of Machine Learning Research
2017
Prior
knowledge elicitation: The past, present, and future
Peer-reviewed
Open access
DOI
10.1214/23-BA1381
Mikkola, Petrus; Martin, Osvaldo; Halasinamara Chandramouli, Suyog; Hartmann, Marcelo; Abril Pla, Or...
Bayesian analysis
2023
Tikhonov regularization and
prior
information in electrical impedance tomography
Peer-reviewed
Vauhkonen, M.; Vadasz, D.; Karjalainen, Pasi; Somersalo, E.; Kaipio, J.
IEEE Transactions on Medical Imaging
1998
Detecting and diagnosing
prior
and likelihood sensitivity with power-scaling
Peer-reviewed
Open access
DOI
10.1007/s11222-023-10366-5
Kallioinen, Noa; Paananen, Topi; Bürkner, Paul Christian; Vehtari, Aki
STATISTICS AND COMPUTING
2023
Uncertainty Quantification for the
Horseshoe
(with Discussion) comment
Open access
Piironen, Juho; Betancourt, Michael; Simpson, Daniel; Vehtari, Aki
Bayesian Analysis
2017
The effect of variations of
prior
on knowledge tracing
Peer-reviewed
Open access
Nelimarkka, Matti; Ghori, Madeeha
CEUR workshop proceedings
2014
Effects of
prior
knowledge on collaborative and individual learning
Peer-reviewed
DOI
10.1016/j.learninstruc.2019.05.011
Zambrano R., J.; Kirschner, F.; Sweller, J.; Kirschner, P.A.
Learning and instruction
2019
Horseshoe
prior
Bayesian quantile regression
Peer-reviewed
Open access
DOI
10.1093/jrsssc/qlad091
2023
Sparsity information and regularization in the
horseshoe
and other shrinkage
prior
s
Peer-reviewed
Open access
DOI
10.1214/17-EJS1337SI
2017
Horseshoe
Prior
s for Edge-Preserving Linear Bayesian Inversion
Peer-reviewed
Open access
DOI
10.1137/22M1510364
2023
On the hyper
prior
choice for the global shrinkage parameter in the
horseshoe
prior
Peer-reviewed
Open access
2017
Prior
knowledge elicitation: The past, present, and future
Peer-reviewed
Open access
DOI
10.1214/23-BA1381
2023
Tikhonov regularization and
prior
information in electrical impedance tomography
Peer-reviewed
1998
Detecting and diagnosing
prior
and likelihood sensitivity with power-scaling
Peer-reviewed
Open access
DOI
10.1007/s11222-023-10366-5
2023
Uncertainty Quantification for the
Horseshoe
(with Discussion) comment
Open access
2017
The effect of variations of
prior
on knowledge tracing
Peer-reviewed
Open access
2014
Effects of
prior
knowledge on collaborative and individual learning
Peer-reviewed
DOI
10.1016/j.learninstruc.2019.05.011
2019
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