Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Heidi Seibold
On the Choice and Influence of the Number of Boosting Steps for High-Dimensional Linear Cox-Models
Computational Statistics
Computational Mathematics
Statistics
Uncertainty
Probability
Related publications
Confidence Intervals for High-Dimensional Cox Models
Statistica Sinica
Uncertainty
Statistics
Probability
Linear Hypothesis Testing for High Dimensional Generalized Linear Models
Annals of Statistics
Uncertainty
Statistics
Probability
Linear Two-Dimensional Models of Anisotropic Plates in the High Approximations
The Influence of Linear-Time Models on Complexity Theory
International Journal of Recent Technology and Engineering
Engineering
Management of Technology
Innovation
Adaptive Group Bridge Estimation for High-Dimensional Partially Linear Models
Journal of Inequalities and Applications
Combinatorics
Applied Mathematics
Analysis
Discrete Mathematics
Influence of the Number of Load Steps in K0 Consolidation on the Undrained Shear Strength.
Soils and Foundations
Civil
Geotechnical Engineering
Engineering Geology
Structural Engineering
Another Perspective on "The Proper Number of Factors" and the Appropriate Number of Steps
Structural Equation Modeling
Sociology
Finance
Decision Sciences
Economics
Simulation
Political Science
Modeling
Econometrics
Inference in High Dimensional Generalized Linear Models Based on Soft Thresholding
Journal of the Royal Statistical Society. Series B: Statistical Methodology
Uncertainty
Statistics
Probability
Asymptotic Normality of Posterior Distributions in High-Dimensional Linear Models
Bernoulli
Statistics
Probability