Results 121 to 130 of about 1,082,837 (347)

From farms to tables: Quantifying the effect of emissions pricing on Canadian food prices

open access: yesCanadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, EarlyView.
Abstract We examine the effect of emissions pricing on the cost of Canadian food. We describe emissions pricing policies relevant to the agriculture and food sectors and the differing design details of various provincial systems and the federal Greenhouse Gas Pollution Pricing Act.
Trevor Tombe, Jennifer Winter
wiley   +1 more source

I/O-Optimal Algorithms for Symmetric Linear Algebra Kernels [PDF]

open access: green, 2022
Olivier Beaumont   +3 more
openalex   +1 more source

Reproducing kernels, Engliš algebras and some applications

open access: yesStudia Mathematica, 2016
Let \({\mathcal H}={\mathcal H}(\Omega)\) be a reproducing kernel Hilbert space and \(\widehat{k}_{{\mathcal H},\lambda}\) be the normalized reproducing kernel of \({\mathcal H}\). Typically, \({\mathcal H}\) is a Hardy space \(H ^2\), a Bergman space \(L_a^2\), or a model space \(K_\theta:=H^2\ominus\theta H^2\) for an inner function \(\theta\).
HUBAN, Mualla Birgul   +2 more
openaire   +4 more sources

Farmers’ share of the consumer food dollar in Canada: What input‐output data from 1997–2021 show us

open access: yesCanadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, EarlyView.
Abstract This article uses Canadian input–output data from 1997–2021 to explore the consumer food dollar in terms of its distribution between farmers (i.e., farm share) and post‐farm gate industries. We have adopted the method developed by Canning (2011), which is based on a type one Input‐Output multiplier model.
Solomon Aklilu   +4 more
wiley   +1 more source

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

open access: yesInternational 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   +2 more
wiley   +1 more source

Solution of viscoelastic creep models for anisotropic materials with linear relation between strain and stress but nonlinear with respect to time

open access: yesApplications in Engineering Science
In this paper, we investigate anisotropic viscoelastic materials describing (both) creep relaxation and aging. The constitutive response is presented by hereditary integrals with memory kernel matrices using the Voigt–Mandel algebra.
Hiromichi Itou   +2 more
doaj   +1 more source

Hochshild cohomology of the associative conformal algebra Cend_{1,x}

open access: yes, 2017
It is established in this work that second Hochshild cohomology group of the associative conformal algebra Cend_{1,x} is zero. As a corollary, this algebra split off in each extension with a nilpotent kernel.
Kozlov, Roman
core  

A Comparative Review of Specification Tests for Diffusion Models

open access: yesInternational 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   +3 more
wiley   +1 more source

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