291 citations
- University of CambridgeGB72 papers
- Department of Mathematical SciencesRU27 papers
- Stanford UniversityUS22 papers
- Mathematical Institute of the Slovak Academy of SciencesSK12 papers
- The University of TokyoJP10 papers
- University of California, BerkeleyUS9 papers
- Tokyo University of ScienceJP8 papers
- Institute of Mathematical SciencesIN6 papers
- Mathematical Sciences Research InstituteUS6 papers
- Romanian AcademyRO6 papers
- University of MemphisUS6 papers
- Lawrence Berkeley National LaboratoryUS5 papers
18 papers · 1 filter
Degenerating abelian varieties via log abelian varieties
Heer Zhao
For any split totally degenerate abelian variety over a complete discrete valuation field, we construct a log abelian variety over the discrete valuation ring extending the given a…
Uniform central limit theorems for the Grenander estimator
Jakob Söhl
We consider the Grenander estimator that is the maximum likelihood estimator for non-increasing densities. We prove uniform central limit theorems for certain subclasses of bounded…
L-extendable functions and a proximity scaling algorithm for minimum cost multiflow problem
Hiroshi Hirai
In this paper, we develop a theory of new classes of discrete convex functions, called L-extendable functions and alternating L-convex functions, defined on the product of trees. W…
An Efficient Non-Intrusive Uncertainty Propagation Method for Stochastic Multi-Physics Models
Akshay Mittal, Gianluca Iaccarino
Multi-physics models governed by coupled partial differential equation (PDE) systems, are naturally suited for partitioned, or modular numerical solution strategies. Although widel…
An Efficient Intrusive Uncertainty Propagation Method For Multi-Physics System With Random Inputs
Akshay Mittal, Gianluca Iaccarino
Coupled partial differential equation (PDE) systems, which often represent multi-physics models, are naturally suited for modular numerical solution methods. However, several chall…
On ANOVA decompositions of kernels and Gaussian random field paths
David Ginsbourger, Olivier Roustant, Dominic Schuhmacher +2
The FANOVA (or "Sobol'-Hoeffding") decomposition of multivariate functions has been used for high-dimensional model representation and global sensitivity analysis. When the objecti…