Results 101 to 110 of about 165,472 (304)

Kernel algebras and generalized Fourier–Mukai transforms

Journal of Noncommutative Geometry, 2011
We introduce and study kernel algebras , i.e., algebras in the category of sheaves on a square of a scheme, where the latter category is equipped with a monoidal structure via a natural convolution operation. We show that many interesting categories, such as D-modules, equivariant sheaves and
openaire   +4 more sources

Model‐Free Local Partial Correlation

Australian &New Zealand Journal of Statistics, EarlyView.
ABSTRACT In the simple linear regression context, partial correlation measures the linear association between two variables, with the linear effects of a third control variable removed. In this paper, we investigate the local partial correlation using a kernel smoothing approach.
Li‐Shan Huang, Chuo‐Ju Yang, Jin‐Ting Zhang   +2 more
wiley   +1 more source

Quasi-Frobenius-Lusztig kernels for simple Lie algebras

Transactions of the American Mathematical Society, 2016
In the first author’s Math. Res. Lett. paper (2014), the quasi-Frobenius-Lusztig kernel associated with s l 2 \mathfrak {sl}_{2} was constructed. In this paper we construct the quasi-Frobenius-Lusztig kernels associated with any simple Lie algebra g ...
Liu, Gongxiang, Van Oystaeyen, Fred, Zhang, Yinhuo   +2 more
openaire   +5 more sources

Kokkos Kernels: Performance Portable Sparse/Dense Linear Algebra and Graph Kernels

, 2021
As hardware architectures are evolving in the push towards exascale, developing Computational Science and Engineering (CSE) applications depend on performance portable approaches for sustainable software development. This paper describes one aspect of performance portability with respect to developing a portable library of kernels that serve the needs ...
Rajamanickam, Sivasankaran, Acer, Seher, Berger-Vergiat, Luc, Dang, Vinh, Ellingwood, Nathan, Harvey, Evan, Kelley, Brian, Trott, Christian R., Wilke, Jeremiah, Yamazaki, Ichitaro   +9 more
openaire   +2 more sources

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

International Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing, Michail Papathomas, Silvia Liverani   +2 more
wiley   +1 more source

Weak-Star Closed Algebras and Generalized Bergman Kernels [PDF]

Proceedings of the American Mathematical Society, 1984
In this paper we will characterize the weak-star closed algebra A \mathcal {A} generated by the canonical model associated with a generalized Bergman kernel defined on a domain G G in the plane, whose spectrum is a spectral set. In fact, A \mathcal {A} equals the space
openaire   +1 more source

A Comparative Review of Specification Tests for Diffusion Models

International Statistical Review, EarlyView.
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez, D. Diz‐Castro, M. Febrero‐Bande, W. González‐Manteiga   +3 more
wiley   +1 more source

Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes

International Statistical Review, EarlyView.
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh, Nicolas Savy, Philippe Saint‐Pierre, Michael R. Kosorok   +3 more
wiley   +1 more source

Singular integral operators. The case of an unlimited contour

Journal of Numerical Analysis and Approximation Theory, 2005
Let \(\Gamma\)be a closed or unclosed unlimited contour, a shift \(\alpha(t)\) maps homeomorphicly the contour \(\Gamma\) onto itself with preserving or reversing the direction on \(\Gamma\) and also satisfies the conditions: for some natural \(n\geq2\),
V. Neaga
doaj   +2 more sources

Simulating Image Coaddition with the Nancy Grace Roman Space Telescope. III. Software Improvements and New Linear Algebra Strategies

The Astrophysical Journal Supplement Series
The Nancy Grace Roman Space Telescope will implement a devoted weak gravitational lensing program with its High Latitude Wide Area Survey. For cosmological purposes, a critical step in Roman image processing is to combine dithered undersampled images ...
Kaili Cao, Christopher M. Hirata, Katherine Laliotis, Masaya Yamamoto, Emily Macbeth, M. A. Troxel   +5 more
doaj   +1 more source