[PDF] Top 20 Improved Bounds for Small-Sample Estimation
Has 10000 "Improved Bounds for Small-Sample Estimation" found on our website. Below are the top 20 most common "Improved Bounds for Small-Sample Estimation".
Improved Bounds for Small-Sample Estimation
... statistical estimation, small-sample estimation, norm estimation, condition number estimation ...all. For example, B might be the inverse of a known matrix A of large ... Voir le document complet
11
Improved Bounds for Small-Sample Estimation
... statistical estimation, small-sample estimation, norm estimation, condition number estimation ...all. For example, B might be the inverse of a known matrix A of large ... Voir le document complet
12
Computable lower bounds for deterministic parameter estimation
... Terms— Estimation, MSE lower bounds, Signal detec- tion ...Lower bounds on the mean square error (MSE) in estimating a set of deterministic parameters [4] from noisy observations provide the best ... Voir le document complet
4
DOA estimation for noncircular signals : performance bounds and algorithms
... DOA estimation for noncircular signals by considering algo- rithms and performance ...prominent for low SNRs and DOA separations ...performance bounds, through the stochastic Gaussian CRBs and ... Voir le document complet
33
Information bounds and MCMC parameter estimation for the pile-up model
... motivation for considering this type of problem arises from data encountered in time-resolved fluorescence, where the time from exciting a fluorescent molecule to the emission of a photon is called the ... Voir le document complet
20
MSE lower bounds for deterministic parameter estimation
... Terms— Estimation, Signal detection 1. INTRODUCTION Lower bounds on the mean square error (MSE) in estimating a set of deterministic parameters from noisy observations provide the best performance of any ... Voir le document complet
5
Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation
... DA estimation techniques obtain the better performance but may lead to unacceptable losses in power and spectral ...an improved data efficiency but requires additional interactive impairments between ... Voir le document complet
5
Asymmetric source acoustic LWD for the improved formation shear velocity estimation
... Fig. 3(a), 4(a) and 5(a) show the time traces of modeled monopole, dipole and quadrupole modes respectively, while Fig. 3(b), 4(a) and 5(a) show the measured traces of the same multipole modes. All the measured traces ... Voir le document complet
18
Hastings-Metropolis algorithm on Markov chains for small-probability estimation
... Furthermore, for each random quantity that is sampled for a trajectory sampling, the pdf evaluation requires to compute the corresponding ...pdf. For example, in the case of Proposition ...to ... Voir le document complet
33
Improved Estimation of the Distance between Covariance Matrices
... empirical sample covariances. We show here that, for large dimensional data, these approximations lead to dra- matically erroneous distance and divergence ... Voir le document complet
6
Bounds for estimation of covariance matrices from heterogeneous samples
... matrix estimation, Cramér–Rao bound, heterogeneous ...the sample covariance matrix (SCM) estimator is the maximum-likelihood estimator ...model for heterogeneous environments; see also [5], where we ... Voir le document complet
6
On Lower Bounds for Non Standard Deterministic Estimation
... a Small Error bound (CRB [19], [20] or BaB [22]) with a Large Error bound (MSB [17]) in order to obtain a bound which accounts for both local and large errors and is able to handle the threshold ... Voir le document complet
17
Improved Lower Bounds for the Online Bin~Stretching Problem
... lower bounds such as L 2 and L 3 from Martello and Toth ( 1990 ...these bounds since, in our experiments, subproblems are small and it is computationally more ecient to immediately solve these ... Voir le document complet
17
Improved Vapnik Cervonenkis bounds
... VC bounds where we avoid the use of symmetrization and use a shadow sample of arbitrary ...our bounds still hold for non identically distributed inde- pendent random ... Voir le document complet
23
Bounds for maximum likelihood regular and non-regular DoA estimation in K-distributed noise
... When the spatial covariance matrix of this additive noise is known a priori, maximum likelihood estimators and Cramér-Rao bounds are changing in a straightforward way with whitening operations. The new statistical ... Voir le document complet
13
Random matrix-improved estimation of covariance matrix distances
... models for unsupervised image denoising (hdmi) ...eigenvalues for some sets of random ...2008a. Improved estimation of eigenvalues of covariance matrices and their associated subspaces using ... Voir le document complet
37
Performance bounds and statistical analysis of DOA estimation
... the sample covariance matrix, and thus involved very complicated ...DOA estimation algorithms, using a series expansion of the orthogonal projectors on the signal and noise subspaces, allowing considerable ... Voir le document complet
36
Asymmetric source acoustic LWD for the improved formation shear velocity estimation
... Most acoustic logging while drilling (LWD) tools generate a single pure borehole mode (e.g., dipole or quadrupole) to estimate the formation shear velocity. We propose an ap- proach where multipole modes are generated ... Voir le document complet
5
Distributed algebraic connectivity estimation for undirected graphs with upper and lower bounds
... proposed for computing the algebraic connectivity of a symmetric Laplacian ...algorithm for estimating the algebraic connectivity for undirected graphs with symmetric Laplacian ...lower bounds ... Voir le document complet
10
Blind noise estimation and compensation for improved characterization of multivariable processes
... The ION algorithm is utilized to improve three important applications in multivariate data analysis: 1) distortion experienced by least squares linear regression due[r] ... Voir le document complet
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