Results 11 to 20 of about 723,703 (287)
Ensemble Estimators for Multivariate Entropy Estimation [PDF]
version 3: correction of minor typos from version ...
Sricharan, Kumar +2 more
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Aggregated estimating equation estimation [PDF]
Motivated by the recent active research on online analytical processing (OLAP), we develop a computation and storage efficient algorithm for estimating equation (EE) estimation in massive data sets using a “divide-and-conquer” strategy. In each partition of the data set, we compress the raw data into some low dimensional statistics and then discard the
Nan Lin, Ruibin Xi
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On some composite Kies families: distributional properties and saturation in Hausdorff sense
The stochastic literature contains several extensions of the exponential distribution which increase its applicability and flexibility. In the present article, some properties of a new power modified exponential family with an original Kies correction ...
Tsvetelin Zaevski, Nikolay Kyurkchiev
doaj +1 more source
Confidence Intervals for Stereological Estimators with Infinite Variance [PDF]
A statistical estimator is discussed for using two-dimensional electron-microscope data to estimate NV, the number of organelles per unit volume. Under general assumptions, the estimator is shown to be the unique unbiased estimator of NV.
Franklin, Joel N.
core +1 more source
Variance Estimation in a Random Coefficients Model [PDF]
This papers describes an estimator for a standard state-space model with coefficients generated by a random walk that is statistically superior to the Kalman filter as applied to this particular class of models.
Ludsteck, Johannes, Schlicht, Ekkehart
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Piecewise convex function estimation: pilot estimators [PDF]
Given noisy data, function estimation is considered when the unknown function is known a priori to consist of a small number of regions where the function is either convex or concave. When the number of regions is unknown, the model selection problem is to determine the number of convexity change points.
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Hazard models with varying coefficients for multivariate failure time data [PDF]
Statistical estimation and inference for marginal hazard models with varying coefficients for multivariate failure time data are important subjects in survival analysis.
Cai, Jianwen +3 more
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An improved estimator for non-Gaussianity in cosmic microwave background observations [PDF]
An improved estimator for the amplitude fnl of local-type non-Gaussianity from the cosmic microwave background (CMB) bispectrum is discussed. The standard estimator is constructed to be optimal in the zero-signal (i.e., Gaussian) limit.
Grin, Daniel +2 more
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Silhouettes arise in a variety of imaging scenarios. Pristine silhouettes are often degraded via blurring, detector sampling, and detector noise. We present a maximum a posteriori estimator for the restoration of parameterized facial silhouettes. Extreme dealiasing and dramatic superresolution, well beyond the diffraction limit, are demonstrated ...
Paxman, Richard G +3 more
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Development and testing of a soot particle concentration estimator using Lagrangian post-processing
Soot emissions from combustion devices are known to have harmful effects on the environment and human health. As the transportation industry continues to expand, the development of techniques to reduce soot emissions remains a significant goal of ...
Raymond Alexander +3 more
doaj +1 more source

