Results 11 to 20 of about 4,245 (179)
Power and sample size determination for the group comparison of patient-reported outcomes with Rasch family models. [PDF]
PLoS ONE, 2013 BACKGROUND: Patient-reported outcomes (PRO) that comprise all self-reported measures by the patient are important as endpoint in clinical trials and epidemiological studies.
Myriam Blanchin +4 more
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Cramer-Rao lower bounds for atomic decomposition [PDF]
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999 In a previous paper we presented a method for atomic decomposition with chirped, Gabor functions based on maximum likelihood estimation. In this paper we present the Cramer-Rao lower bounds for estimating the seven chirp parameters, and the results of a simulation showing that our sub-optimal, but computationally tractable, estimators perform well in ...
Jeffrey C. O'Neill, Patrick Flandrin
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The Cramér–Rao Bounds and Sensor Selection for Nonlinear Systems with Uncertain Observations
Sensors, 2018 This paper considers the problems of the posterior Cramér–Rao bound and sensor selection for multi-sensor nonlinear systems with uncertain observations.
Zhiguo Wang +3 more
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A Note on the Intrinsic Cramer-Rao Bound [PDF]
, 2013 We consider the intrinsic version of the Cramer-Rao lower bound (CRLB) as introduced by S.T. Smith in 2005. In the concerned paper, the derived lower bound on the intrinsic root-mean-square error (RMSE) of any sample covariance matrix (SCM) estimator is shown not to depend on the underlying parameter, and the author claims the result stems from the ...
Barrau, Axel, Bonnabel, Silvère
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Entropy, 2023 The variational Bayesian method solves nonlinear estimation problems by iteratively computing the integral of the marginal density. Many researchers have demonstrated the fact its performance depends on the linear approximation in the computation of the ...
Yumei Hu +5 more
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DOA Estimation for Sources with Large Power Differences
International Journal of Antennas and Propagation, 2021 Sources with large power differences are very common, especially in complex electromagnetic environments. Classical DOA estimation methods suffer from performance degradation in terms of resolution when dealing with sources that have large power ...
Qingyuan Fang +3 more
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The Cramer-Rao Bound for Sparse Estimation
CoRR, 2009 The goal of this paper is to characterize the best achievable performance for the problem of estimating an unknown parameter having a sparse representation. Specifically, we consider the setting in which a sparsely representable deterministic parameter vector is to be estimated from measurements corrupted by Gaussian noise, and derive a lower bound on ...
Zvika Ben-Haim, Yonina C. Eldar
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Measuring quantum relative entropy with finite-size effect [PDF]
QuantumWe study the estimation of relative entropy $D(\rho\|\sigma)$ when $\sigma$ is known. We show that the Cramér-Rao type bound equals the relative varentropy. Our estimator attains the Cramér-Rao type bound when the dimension $d$ is fixed. It also achieves
Masahito Hayashi
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Computing Bayesian Cramer-Rao bounds [PDF]
Proceedings. International Symposium on Information Theory, 2005. ISIT 2005., 2005 An efficient message-passing algorithm for computing the Bayesian Cramer-Rao bound (BCRB) for general estimation problems is presented. The BCRB is a lower bound on the mean squared estimation error. The algorithm operates on a cycle-free factor graph of the system at hand.
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Cramer-Rao bounds for deterministic modal analysis [PDF]
[1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers, 1993 The accuracy with which deterministic modes can be identified from a finite record of noisy data is determined by computing the Cramer-Rao bound on the error covariance matrix of any unbiased estimator of mode parameters. The bound is computed for many of the standard parametric descriptions of a mode, including autoregressive and moving-average ...
L. Todd McWhorter, Louis L. Scharf
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