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- 2024
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Mark
Optimization and Algorithms in Sparse Regression : Screening Rules, Coordinate Descent, and Normalization
2024)(
- Thesis › Doctoral thesis (compilation)
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Mark
The Lasso and Ridge Regression Yield Biased Estimates of Imbalanced Binary Features
2024)(
- Other contribution › Miscellaneous
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Mark
Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm
(
- Contribution to journal › Article
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Mark
Non-Standard Errors
(
- Contribution to journal › Article
-
Mark
Gaussian process learning of nonlinear dynamics
(
- Contribution to journal › Article
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Mark
Estimating major merger rates and spin parameters ab initio via the clustering of critical events
(
- Contribution to journal › Article
-
Mark
Tangency portfolio weights under a skew-normal model in small and large dimensions
(
- Contribution to journal › Article
-
Mark
Characteristics of the switch process and geometric divisibility
(
- Contribution to journal › Article
-
Mark
The limit point in the Jante's law process has an absolutely continuous distribution
(
- Contribution to journal › Article
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Mark
Hybrid elicitation and quantile-parametrized likelihood
(
- Contribution to journal › Article