Results 211 to 220 of about 77,572 (263)

Framework for X-ray mirror surface shape fitting. [PDF]

open access: yesJ Synchrotron Radiat
Huang L   +9 more
europepmc   +1 more source

mTOR signalling mediates the spinal osteoblast pathotype at the curve apex in adolescent idiopathic scoliosis

open access: yes
Northall EH   +7 more
europepmc   +1 more source

Consistency in Concave Regression

open access: yesAnnals of Statistics, 1976
For each $t$ in some subinterval $T$ of the real line let $F_t$ be a distribution function with mean $m(t)$. Suppose $m(t)$ is concave. Let $t_1, t_2, \cdots$ be a sequence of points in $T$ and let $Y_1, Y_2, \cdots$ be an independent sequence of random variables such that the distribution function of $Y_k$ is $F_{t_k}$. We consider estimators $m_n(t) =
D L Hanson
exaly   +3 more sources

On the Concavity of the Consumption Function [PDF]

open access: possibleEconometrica, 1996
At least since Keynes (1935), many economists have had the intuition that the marginal propensity to consume out of wealth declines as wealth increases. Nonetheless, standard perfect-certainty and certainty equivalent versions of intertemporal optimizing models of consumption imply a marginal propensity to consume that is unrelated to the level of ...
Carroll, Christopher D, Kimball, Miles S
openaire   +1 more source
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A REPRESENTATION RESULT FOR CONCAVE SCHUR CONCAVE FUNCTIONS

Mathematical Finance, 2005
A representation result is provided for concave Schur concave functions on L∞(Ω). In particular, it is proven that any monotone concave Schur concave weakly upper semicontinuous function is the infinimum of a family of nonnegative affine combinations of Choquet integrals with respect to a convex continuous distortion of the underlying probability.
exaly   +4 more sources

The Concave-Convex Procedure

Neural Computation, 2003
The concave-convex procedure (CCCP) is a way to construct discrete-time iterative dynamical systems that are guaranteed to decrease global optimization and energy functions monotonically. This procedure can be applied to almost any optimization problem, and many existing algorithms can be interpreted in terms of it.
Alan L. Yuille, Anand Rangarajan 0001
openaire   +3 more sources

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