Results 41 to 50 of about 3,817,143 (297)

Targeted smoothing parameter selection for estimating average causal effects [PDF]

Computational Statistics, 2014
The non-parametric estimation of average causal effects in observational studies often relies on controlling for confounding covariates through smoothing regression methods such as kernel, splines or local polynomial regression. Such regression methods are tuned via smoothing parameters which regulates the amount of degrees of freedom used in the fit ...
Jenny Häggström, Xavier de Luna
openaire   +3 more sources

Bandwidth Selection Problem for Nonparametric Regression Model with Right-Censored Data [PDF]

Revista Română de Statistică, 2017
In this paper, the proposed estimator for the unknown nonparametric regression function is a Nadarya-Watson (Nadarya, 1964; Watson, 1964) type kernel estimator. In this estimation procedure, the censored observations are replaced by synthetic data points
Dursun AYDIN, Ersin YILMAZ
doaj  

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

FEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas, Aaron D. Morgan, Ignas Čiurlionis, Christian Böhm, Stefan Jockenhövel, Willi Jahnen‐Dechent, Marc A. M. J. van Zandvoort   +6 more
wiley   +1 more source

COMPUTER-ASSISTED CHOICE OF SMOOTHING PARAMETER IN KERNEL METHODS APPLIED IN ECONOMIC ANALYSES

Quantitative Methods in Economics, 2014
In the kernel method, it is necessary to determine the value of the smoothing parameter. Not without significance is the fact of using the objectivity in the selection of this parameter and a certain automation of the selection procedure, which is ...
Aleksandra Baszczyńska
doaj  

Optimal Minimax Rate of Smoothing Parameter in Distributed Nonparametric Specification Test

Axioms
A model specification test is a statistical procedure used to assess whether a given statistical model accurately represents the underlying data-generating process. The smoothing-based nonparametric specification test is widely used due to its efficiency
Peili Liu, Yanyan Zhao, Libai Xu, Tao Wang   +3 more
doaj   +1 more source

KDAC6 alters cell morphology and motility through positive and negative modulation of F‐actin distribution

FEBS Open Bio, EarlyView.
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph, Andrea B. Pham, Kiara E. Bornes, Razan H. Hammad, Chelsea A. Rousseve‐Ross, Thomas M. Huckaba, Terry J. Watt, Tasha B. Toro   +7 more
wiley   +1 more source

The Impact of Smoothing Techniques on Vegetation Phenology Extraction: A Case Study of Inner Mongolia Grasslands

Agronomy
The selection of data smoothing methods is one of the key steps in extracting land surface phenology parameters from time-series remote sensing data. However, existing studies often use default parameters for denoising the time-series data, neglecting ...
Mengna Liu, Baocheng Wei, Xu Jia
doaj   +1 more source

Comparison of total variation with a motion estimation based compressed sensing approach for self-gated cardiac cine MRI in small animal studies. [PDF]

PLoS ONE, 2014
PURPOSE: Compressed sensing (CS) has been widely applied to prospective cardiac cine MRI. The aim of this work is to study the benefits obtained by including motion estimation in the CS framework for small-animal retrospective cardiac cine.
Juan F P J Abascal, Paula Montesinos, Eugenio Marinetto, Javier Pascau, Manuel Desco   +4 more
doaj   +1 more source

Empirical Smoothing Parameter Selection in Adaptive Estimation

The Annals of Statistics, 1992
The paper deals with selecting the smoothing parameter involved in the construction of adaptive estimates for the symmetric location model. In \textit{P. J. Bickel's} [Ann. Stat. 10, 647-671 (1982; Zbl 0489.62033)] original paper on adaptivity a necessary condition for adaption was given.
openaire   +2 more sources