Results 1  10
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912
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 879 (14 self)
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, where r is the residual vector y − A˜x and t is a positive scalar. We show that if A obeys a uniform uncertainty principle (with unitnormed columns) and if the true parameter vector x is sufficiently sparse (which here roughly guarantees that the model is identifiable), then with very large probability
Bayesian Calibration of Computer Models
 Journal of the Royal Statistical Society, Series B, Methodological
, 2000
"... this paper a Bayesian approach to the calibration of computer models. We represent the unknown inputs as a parameter vector `. Using the observed data we derive the posterior distribution of `, which in particular quantifies the `residual uncertainty' about ..."
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Cited by 202 (3 self)
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this paper a Bayesian approach to the calibration of computer models. We represent the unknown inputs as a parameter vector `. Using the observed data we derive the posterior distribution of `, which in particular quantifies the `residual uncertainty' about
Global and regional climate changes due to black carbon,
 Nat. Geosci.,
, 2008
"... Figure 1: Global distribution of BC sources and radiative forcing. a, BC emission strength in tons per year from a study by Bond et al. Full size image (42 KB) Review Nature Geoscience 1, 221 227 (2008 Black carbon in soot is the dominant absorber of visible solar radiation in the atmosphere. Ant ..."
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Cited by 228 (5 self)
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to as soot 1 . BC in indoor environments is largely due to cooking with biofuels such as wood, dung and crop residue. Outdoors, it is due to fossil fuel combustion (diesel and coal), open biomass burning (associated with deforestation and crop residue burning), and cooking with biofuels 1 . Soot aerosols
Robust Solutions To LeastSquares Problems With Uncertain Data
, 1997
"... . We consider leastsquares problems where the coefficient matrices A; b are unknownbutbounded. We minimize the worstcase residual error using (convex) secondorder cone programming, yielding an algorithm with complexity similar to one singular value decomposition of A. The method can be interpret ..."
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Cited by 205 (14 self)
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. We consider leastsquares problems where the coefficient matrices A; b are unknownbutbounded. We minimize the worstcase residual error using (convex) secondorder cone programming, yielding an algorithm with complexity similar to one singular value decomposition of A. The method can
Incremental Singular Value Decomposition Of Uncertain Data With Missing Values
 IN ECCV
, 2002
"... We introduce an incremental singular value decomposition (SVD) of incomplete data. The SVD is developed as data arrives, and can handle arbitrary missing/untrusted values, correlated uncertainty across rows or columns of the measurement matrix, and user priors. Since incomplete data does not uniq ..."
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Cited by 179 (5 self)
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We introduce an incremental singular value decomposition (SVD) of incomplete data. The SVD is developed as data arrives, and can handle arbitrary missing/untrusted values, correlated uncertainty across rows or columns of the measurement matrix, and user priors. Since incomplete data does
An achievable rate region for the multipleaccess channel with feedback
 IEEE Trans. Inform. Theory
, 1981
"... p(u)p(x,~u)p(x~~u)p(ylxl,x~), is established for the multipleaccess channel with feedback. Time sharing of these achievable rates yields the rate region of this paper. This region generally exceeds the achievable rate region without feedback and exceeds the rate point found by Gaarder and Wolf for ..."
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Cited by 89 (0 self)
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in the transmission of information that resolves the residual uncertainty of the receiver. At the same time, independent information from the transmitters is superimposed on the cooperative correction information. The proof involves list codes and block Markov encoding. G I.
Background Subtraction Uncertainty from Submillimetre to Millimetre Wavelengths
, 2014
"... Photometric observations of galaxies at submillimetre to millimetre wavelengths (501000 GHz) are susceptible to spatial variations in both the background CMB temperature and CIB emission that can be comparable to the flux from the target galaxy. We quantify the residual uncertainty when background ..."
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Photometric observations of galaxies at submillimetre to millimetre wavelengths (501000 GHz) are susceptible to spatial variations in both the background CMB temperature and CIB emission that can be comparable to the flux from the target galaxy. We quantify the residual uncertainty when
Optimal recommendation sets: Covering uncertainty over user preferences
 In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI’05
, 2005
"... We propose an approach to recommendation systems that optimizes over possible sets of recommended alternatives in a decisiontheoretic manner. Our approach selects the alternative set that maximizes the expected valuation of the user’s choice from the recommended set. The setbased optimization expl ..."
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Cited by 25 (0 self)
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explicitly recognizes the opportunity for passing residual uncertainty about preferences back to the user to resolve. Implicitly, the approach chooses a set with a diversity of alternatives that optimally covers the uncertainty over possible user preferences. The approach can be used with several preference
Uncertainty Analysis in Twoterminal Impedance Measurements with Residual Correction
"... Abstract – Residual impedance correction in impedance analyzers when using an asymmetrical test fixture needs three reference measurements, usually open circuit, short circuit, and load (meaning an impedance close to the impedance under test). This paper provides an uncertainty estimate for impedanc ..."
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Abstract – Residual impedance correction in impedance analyzers when using an asymmetrical test fixture needs three reference measurements, usually open circuit, short circuit, and load (meaning an impedance close to the impedance under test). This paper provides an uncertainty estimate
Residual Risk and the Valuation of Leases under Uncertainty and Limited Information
"... For a variety of tax, accounting, and economic reasons, leasing has become an enormously popular method of financing the acquisition of capital assets. In particular, for power generation assets, the use of leasing products (including synthetic and leveraged leases) has grown substantially in recent ..."
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in recent years. However, the longlived nature of most power generation assets, together with their often unique physical and economic characteristics, makes estimation of their residual values challenging. In an environment where uncertainties are commonplace and in which capital structures are often
Results 1  10
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912