Results 51 to 60 of about 144,075 (292)

Thresholding methods to estimate the copula density [PDF]

, 2005
This paper deals with the problem of the multivariate copula density estimation. Using wavelet methods we provide two shrinkage procedures based on thresholding rules for which the knowledge of the regularity of the copula density to be estimated is not ...
Autin, Florent, Pennec, Erwan Le, Tribouley, Karine   +2 more
core   +4 more sources

Detection of circulating tumor DNA in colorectal cancer patients using a methylation‐specific droplet digital PCR multiplex

Molecular Oncology, EarlyView.
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto, Louise Raunkilde, Jan Lindebjerg, Mads Malik Aagaard, Christina Therkildsen, Jakob Kleif, Lars Henrik Jensen, Torben Frøstrup Hansen, Rikke Fredslund Andersen   +8 more
wiley   +1 more source

Estimation of Dispersed Glaciation Shrinkage Under Climate Change

Geography, Environment, Sustainability, 2019
We propose a new method of estimating the shrinkage of glaciers over a wide area under conditions of changed climate. The method can be also used to quantitatively estimate the presence of glaciers under past climatic conditions, in mountainous areas ...
Gleb E. Glazirin, Eleonora R. Semakova
doaj   +1 more source

On Some Classes of Estimators Derived from the Positive Part of James–Stein Estimator

Journal of Mathematics, 2023
This work consists of developing shrinkage estimation strategies for the multivariate normal mean when the covariance matrix is diagonal and known. The domination of the positive part of James–Stein estimator (PPJSE) over James–Stein estimator (JSE ...
Abdenour Hamdaoui, Abdelkader Benkhaled, Mohammed Alshahrani, Mekki Terbeche, Waleed Almutiry, Amani Alahmadi   +5 more
doaj   +1 more source

Estimating the Capital Asset Pricing Model with Many Instruments: A Bayesian Shrinkage Approach

Mathematics, 2023
This paper introduces an instrumental variable Bayesian shrinkage approach specifically designed for estimating the capital asset pricing model (CAPM) while utilizing a large number of instruments.
Cássio Roberto de Andrade Alves, Márcio Laurini   +1 more
doaj   +1 more source

Asymptotics for high-dimensional covariance matrices and quadratic forms with applications to the trace functional and shrinkage

, 2016
We establish large sample approximations for an arbitray number of bilinear forms of the sample variance-covariance matrix of a high-dimensional vector time series using $ \ell_1$-bounded and small $\ell_2$-bounded weighting vectors.
Steland, Ansgar, von Sachs, Rainer
core   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Joint Prediction of Li-ion Battery State of Charge and State of Health Based on the DRSN-CW-LSTM Model

IEEE Access, 2023
In this paper, we compare the effects of different deep learning network models applied to the joint estimation of State of Charge (SOC) and State of Health (SOH), and propose a joint estimation method of SOC and SOH for Li-ion batteries based on DRSN-CW-
Xiaocong Wang, Zhenghang Hao, Zhuo Chen, Jing Zhang   +3 more
doaj   +1 more source

Partial Coherence Estimation via Spectral Matrix Shrinkage under Quadratic Loss [PDF]

, 2015
Partial coherence is an important quantity derived from spectral or precision matrices and is used in seismology, meteorology, oceanography, neuroscience and elsewhere.
Schneider-Luftman, D., Walden, A. T.
core   +2 more sources

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source