Results 81 to 90 of about 1,779,788 (319)

The effect of round-off error on long memory processes

open access: yes, 2013
We study how the round-off (or discretization) error changes the statistical properties of a Gaussian long memory process. We show that the autocovariance and the spectral density of the discretized process are asymptotically rescaled by a factor smaller
La Spada, Gabriele, Lillo, Fabrizio
core   +1 more source

Plasma extrachromosomal circular DNA as a biomarker in EGFR‐targeted therapy of non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard   +5 more
wiley   +1 more source

A new framework for extracting coarse-grained models from time series with multiscale structure

open access: yes, 2015
In many applications it is desirable to infer coarse-grained models from observational data. The observed process often corresponds only to a few selected degrees of freedom of a high-dimensional dynamical system with multiple time scales.
Kalliadasis, Serafim   +2 more
core   +1 more source

Estimates of heterogeneity (I2) can be biased in small meta-analyses [PDF]

open access: yes, 2014
Estimated effects vary across studies, partly because of random sampling error and partly because of heterogeneity. In meta-analysis, the fraction of variance that is due to heterogeneity is known as I 2 .
P. T. Hippel
semanticscholar   +1 more source

On Biased Correlation Estimation

open access: yes, 2017
In general, underestimation of risk is something which should be avoided as far as possible. Especially in financial asset management, equity risk is typically characterized by the measure of portfolio variance, or indirectly by quantities which are derived from it.
Schürmann, Thomas, Hoffmann, Ingo
openaire   +2 more sources

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

open access: yesMolecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra   +10 more
wiley   +1 more source

A Note on the UEK Method

open access: yesBarometr Regionalny, 2018
The paper concerns certain pitfalls of using the Moore-Penrose pseudoinverse for estimating regression coefficients in linear regression models when the matrix of explanatory variables has not full column rank.
Anna Pajor
doaj   +1 more source

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

open access: yesMolecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck   +12 more
wiley   +1 more source

Parametric Estimation in Fractional Stochastic Differential Equation

open access: yesStats
Fractional Stochastic Differential Equations are becoming more popular in the literature as they can model phenomena in financial data that typical Stochastic Differential Equations models cannot.
Paramahansa Pramanik   +2 more
doaj   +1 more source

Small Sample Bias Propreties of the System GMM Estimator in Dynamic Panel Data Models [PDF]

open access: yes
This paper examines analytically and experimentally why the system GMM estimator in dynamic panel data models is less biased than the first differencing or the level estimators even though the former uses more instruments.
Kazuhiko Hayakawa
core  

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