Results 31 to 40 of about 231,426 (276)

Semi-Nonparametric Maximum Likelihood Estimation [PDF]

Econometrica, 1987
The density of Hermite forms: \[ h(u)=P^ 2_ k(u-\tau)\Phi^ 2(u| \tau,diag(\gamma)) \] where \(P_ k\) is a polynomial of degree K and \(\Phi\) is the density function of the multivariate normal distribution is shown to be capable of approximating any density arbitrarily closely subject to minimal qualifications relating to compactness, denseness ...
Gallant, A Ronald, Nychka, Douglas W
openaire   +1 more source

An Assessment of Hermite Function Based Approximations of Mutual Information Applied to Independent Component Analysis

Entropy, 2008
At the heart of many ICA techniques is a nonparametric estimate of an information measure, usually via nonparametric density estimation, for example, kernel density estimation.
Julian Sorensen
doaj   +1 more source

Semi-parametric regression: Efficiency gains from modeling the nonparametric part

, 2011
It is widely admitted that structured nonparametric modeling that circumvents the curse of dimensionality is important in nonparametric estimation. In this paper we show that the same holds for semi-parametric estimation.
Mammen, Enno, Park, Byeong U., Yu, Kyusang   +2 more
core   +1 more source

Regularization of nonparametric frontier estimators [PDF]

Journal of Econometrics, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daouia, Abdelaati, Florens, Jean-Pierre, Simar, Léopold   +2 more
openaire   +9 more sources

Wind power interval prediction based on hybrid semi-cloud model and nonparametric kernel density estimation

Energy Reports, 2022
In today’s increasingly serious world energy crisis, Renewable energy such as wind energy has gradually penetrated into life. Aiming at the uncertainty of wind power and the need of a mass of sample data in nonparametric kernel density estimation, a wind
Kai Zhang, Xiaodong Yu, Shulin Liu, Xia Dong, Daoqing Li, Hongzhi Zang, Rui Xu   +6 more
doaj   +1 more source

NONPARAMETRIC ESTIMATION OF HOMOGENEOUS FUNCTIONS [PDF]

Econometric Theory, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tripathi, Gautam, Kim, Woocheol
openaire   +3 more sources

Bias Adjustment for a Nonparametric Entropy Estimator

Entropy, 2013
Zhang in 2012 introduced a nonparametric estimator of Shannon’s entropy, whose bias decays exponentially fast when the alphabet is finite. We propose a methodology to estimate the bias of this estimator.
Zhiyi Zhang, Michael Grabchak
doaj   +1 more source

On Nonparametric Estimation of Covariogram

Austrian Journal of Statistics
The paper overviews and investigates several nonparametric methods of estimating covariograms. It provides a unified approach and notation to compare the main approaches used in applied research.
Adam Bilchouris, Andriy Olenko
doaj   +1 more source

Nonparametric estimation of composite functions [PDF]

, 2009
We study the problem of nonparametric estimation of a multivariate function $g:\mathbb {R}^d\to\mathbb{R}$ that can be represented as a composition of two unknown smooth functions $f:\mathbb{R}\to\mathbb{R}$ and $G:\mathbb{R}^d\to \mathbb{R}$. We suppose
Juditsky, Anatoli B., Lepski, Oleg V., Tsybakov, Alexandre B.   +2 more
core   +8 more sources

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source