Non-parametric estimation of low-concentration benzene metabolism

Non–parametric volatility estimation

Non-parametric Estimation of Ultrasound Pulses Non-parametric Estimation of Ultrasound Pulses

An algorithm for non-parametric estimation of one-dimensional ul-trasound pulses in echo sequences from human tissues is derived. The technique is a variation of the homomorphic ltering technique using the real cepstrum, and the underlying basis of the method is explained. The algorithm exploits a priori knowledge about the structure of rf line echo data and can employ a number of adjacent rf l...

Notes on Non-parametric estimation

To tie up the discussion on the topic op estimation, more specifically spectral estimation, we derive here some tighter properties related to the direct use of the Fourier Transform, as contrasted to the properties of parametric methods such as the Levinson-Schur algorithm, where parameters of a model are estimated. We shall obtain a better insight in how well the Fourier Transform on discrete ...

Low-dose metabolism of benzene in humans: science and obfuscation.

Benzene is a ubiquitous air pollutant that causes human leukemia and hematotoxic effects. Although the mechanism by which benzene causes toxicity is unclear, metabolism is required. A series of articles by Kim et al. used air and biomonitoring data from workers in Tianjin, China, to investigate the dose-specific metabolism (DSM) of benzene over a wide range of air concentrations (0.03-88.9 p.p....

Non-parametric estimation of ROC curve

Receiver operating characteristic (ROC) curve is widely applied in measuring discriminatory ability of diagnostic or prognostic tests. This makes ROC analysis one of the most active research areas in medical statistics. Many parametric and semiparametric estimation methods have been proposed for estimating the ROC curve and its functionals. In this paper, we propose a fully nonparametric Bayesi...