Results 101 to 110 of about 89,388 (233)

Pointwise multipliers in Hardy-Orlicz spaces, and interpolation

open access: yesMATHEMATICA SCANDINAVICA, 2010
We study multipliers of Hardy-Orlicz spaces ${\mathcal H}_{\Phi}$ which are strictly contained between $\bigcup_{p>0}H^p$ and so-called "big" Hardy-Orlicz spaces. Big Hardy-Orlicz spaces, carrying an algebraic structure, are equal to their multiplier algebra, whereas in classical Hardy spaces $H^p$, the multipliers reduce to $H^{\infty}$.
openaire   +3 more sources

What the Government Purchases Multiplier Actually Multiplied in the 2009 Stimulus Package [PDF]

open access: yes
Much of the recent economic debate about the impact of stimulus packages has focused on the size of the crucial government purchases multiplier. But equally crucial is the size of the government purchases multiplicand—the change in government purchases ...
John B. Taylor, John F. Cogan
core  

Power consumption behaviour of multiplier block algorithms [PDF]

open access: yes, 2002
Multiplier blocks have been used primarily for the reduction of circuit complexity. Using new algorithms, it has been shown that they can also be used for effective reduction of power consumption in digital filter circuits.
Demirsoy, S.S., Dempster, A.G., Kale, I.
core  

Tangent Blow‐Ups for Processing Non‐Manifold Geometry

open access: yesComputer Graphics Forum, EarlyView.
Abstract Many geometry processing pipelines implicitly assume their input data is a manifold, or is sampled from one, with a unique tangent plane at every point. Geometric data, however, routinely contains sharp features like edges, corners, self‐intersections, branching junctions, and other singularities, rendering standard methods ill‐defined at ...
Alice Petrov   +3 more
wiley   +1 more source

Volumetric Inverse Rendering via Neural Radiative Transfer

open access: yesComputer Graphics Forum, EarlyView.
Abstract Volumetric inverse rendering seeks to recover the optical properties of participating media from images. Existing approaches either rely on differentiable stochastic light transport simulation, which require substantial algorithmic effort, or use simplified models that fail to capture global illumination.
Ntumba Elie Nsampi   +4 more
wiley   +1 more source

A few last words on pointwise multipliers of Calderón–Lozanovskiĭ spaces

open access: yesAnnali di Matematica Pura ed Applicata (1923 -)
Revised version - 29 ...
Tomasz Kiwerski, Jakub Tomaszewski
openaire   +2 more sources

Clearing Up the Fiscal Multiplier Morass [PDF]

open access: yes
Bayesian prior predictive analysis of five nested DSGE models suggests that model specifications and prior distributions tightly circumscribe the range of possible government spending multipliers.
Nora Traum   +2 more
core  

The Distributional Effects of Economic Uncertainty*

open access: yesInternational Economic Review, EarlyView.
ABSTRACT We study the distributional implications of uncertainty shocks by developing a model that links macroeconomic aggregates to the US distribution of earnings and consumption. Our findings suggest that the fraction of low‐earning workers decreases initially, while the share of households reporting low consumption increases.
Florian Huber   +2 more
wiley   +1 more source

Fiscal Spending Multiplier Calculations based on Input-Output Tables – with an Application to EU Members [PDF]

open access: yes
Fiscal spending multiplier calculations have been revived in the aftermath of the global financial crisis. Much of the current literature is based on VAR estimation methods and DSGE models.
A. Rannberg, Toralf Pusch
core  

A Note on Local Polynomial Regression for Time Series in Banach Spaces

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley   +1 more source

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