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Viewpoint: Estimating the equity premium
"... Abstract. Finance theory restricts the timeseries behaviour of valuation ratios and links the crosssection of stock prices to the level of the equity premium. This can be used to strengthen the evidence for predictability in stock returns. Steadystate valuation models are useful predictors of sto ..."
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Abstract. Finance theory restricts the timeseries behaviour of valuation ratios and links the crosssection of stock prices to the level of the equity premium. This can be used to strengthen the evidence for predictability in stock returns. Steadystate valuation models are useful predictors of stock returns, given the persistence in valuation ratios. A steadystate approach suggests that the world geometric average equity premium fell considerably in the late twentieth century, rose modestly in the early years of the twentyfirst century, and was almost 4 % at the end of March 2007. JEL classification: G12 Evaluer la prime des actions par rapport aux obligations. La théorie financière contraint le comportement diachronique des ratios de valorisation et relie transversalement les prix des actions au niveau de prime des actions sur les obligations. Voila ̀ qui peut être utilisé pour renforcer la prédictibilite ́ des rendements sur les actions. Les modèles de valorisation en régime permanent sont des prédicteurs utiles des rendements sur les actions, compte tenu du caractère stable des ratios de valorisation. Une approche en termes de régime permanent suggère que la moyenne géométrique mondiale de la prime des actions sur les obligations a chute ́ considérablement a ̀ la fin du 20e siècle, qu’elle a éte ́ modestement en hausse dans les premières années du 21e siècle, et qu’elle était a ̀ presque 4 % a ̀ la fin de mars 2007.
Stochastic Viewpoint Estimation Using an Eigenspace Approach
"... This paper addresses the viewpoint estimation problem, in the context of the larger six degree of freedom (DOF) pose estimation problem. An eigenspace approach is used to generate stochastic appearance models for use in runtime viewpoint estimation. 1 Introduction This paper addresses the problem ..."
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This paper addresses the viewpoint estimation problem, in the context of the larger six degree of freedom (DOF) pose estimation problem. An eigenspace approach is used to generate stochastic appearance models for use in runtime viewpoint estimation. 1 Introduction This paper addresses
Stochastic Viewpoint Estimation Using an Eigenspace Approach
"... This paper addresses the viewpoint estimation problem, in the context of the larger six degree of freedom (DOF) pose estimation problem. An eigenspace approach is used to generate stochastic appearance models for use in runtime viewpoint estimation. 1 Introduction This paper addresses the problem ..."
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This paper addresses the viewpoint estimation problem, in the context of the larger six degree of freedom (DOF) pose estimation problem. An eigenspace approach is used to generate stochastic appearance models for use in runtime viewpoint estimation. 1 Introduction This paper addresses
Monocular Car Viewpoint Estimation with Circular Regression Forests
"... Abstract — Determining the viewpoint of traffic participants provides valuable highlevel attributes to constrain the interpretation of their movement, and thus allows more specific predictions of alert behavior. We present a monocular object viewpoint estimation approach that is realized by a rand ..."
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Cited by 1 (0 self)
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Abstract — Determining the viewpoint of traffic participants provides valuable highlevel attributes to constrain the interpretation of their movement, and thus allows more specific predictions of alert behavior. We present a monocular object viewpoint estimation approach that is realized by a
The Dantzig selector: statistical estimation when p is much larger than n
, 2005
"... In many important statistical applications, the number of variables or parameters p is much larger than the number of observations n. Suppose then that we have observations y = Ax + z, where x ∈ R p is a parameter vector of interest, A is a data matrix with possibly far fewer rows than columns, n ≪ ..."
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Cited by 860 (14 self)
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≪ p, and the zi’s are i.i.d. N(0, σ 2). Is it possible to estimate x reliably based on the noisy data y? To estimate x, we introduce a new estimator—we call the Dantzig selector—which is solution to the ℓ1regularization problem min ˜x∈R p ‖˜x‖ℓ1 subject to ‖A T r‖ℓ ∞ ≤ (1 + t −1) √ 2 log p · σ
Smooth minimization of nonsmooth functions
 Math. Programming
, 2005
"... In this paper we propose a new approach for constructing efficient schemes for nonsmooth convex optimization. It is based on a special smoothing technique, which can be applied to the functions with explicit maxstructure. Our approach can be considered as an alternative to blackbox minimization. F ..."
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Cited by 505 (1 self)
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. From the viewpoint of efficiency estimates, we manage to improve the traditional bounds on the number of iterations of the gradient schemes from O unchanged. 1 ɛ 2 to O
Robust wide baseline stereo from maximally stable extremal regions
 In Proc. BMVC
, 2002
"... The widebaseline stereo problem, i.e. the problem of establishing correspondences between a pair of images taken from different viewpoints is studied. A new set of image elements that are put into correspondence, the so called extremal regions, is introduced. Extremal regions possess highly desir ..."
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Cited by 999 (34 self)
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. Significant change of scale (3.5×), illumination conditions, outofplane rotation, occlusion, locally anisotropic scale change and 3D translation of the viewpoint are all present in the test problems. Good estimates of epipolar geometry (average distance from corresponding points to the epipolar line
From Few to many: Illumination cone models for face recognition under variable lighting and pose
 IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2001
"... We present a generative appearancebased method for recognizing human faces under variation in lighting and viewpoint. Our method exploits the fact that the set of images of an object in fixed pose, but under all possible illumination conditions, is a convex cone in the space of images. Using a smal ..."
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Cited by 746 (12 self)
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We present a generative appearancebased method for recognizing human faces under variation in lighting and viewpoint. Our method exploits the fact that the set of images of an object in fixed pose, but under all possible illumination conditions, is a convex cone in the space of images. Using a
Object Detection and Viewpoint Estimation with Automasking Neural Network
"... Abstract. Simultaneously detecting an object and determining its pose has become a popular research topic in recent years. Due to the large variances of the object appearance in images, it is critical to capture the discriminative object parts that can provide key information about the object pose. ..."
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masking Neural Network (ANN), for object detection and viewpoint estimation. ANN can automatically learn to select the most discriminative object parts across different viewpoints from training images. We also propose a method of accurate continuous viewpoint estimation based on the output of ANN. Experimental
An AppearanceBased Framework for 3D Hand Shape Classification and Camera Viewpoint Estimation
, 2002
"... An appearancebased framework for 3D hand shape classification and simultaneous camera viewpoint estimation is presented. Given an input image of a segmented hand, the most similar matches from a large database of synthetic hand images are retrieved. The ground truth labels of those matches, contain ..."
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Cited by 50 (4 self)
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An appearancebased framework for 3D hand shape classification and simultaneous camera viewpoint estimation is presented. Given an input image of a segmented hand, the most similar matches from a large database of synthetic hand images are retrieved. The ground truth labels of those matches
Results 1  10
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