Results 81 to 90 of about 2,136,192 (344)
Total Least Squares Estimation in Hedonic House Price Models
In real estate valuation using the Hedonic Price Model (HPM) estimated via Ordinary Least Squares (OLS) regression, subjectivity and measurement errors in the independent variables violate the Gauss–Markov theorem assumption of a non-random coefficient ...
Wenxi Zhan +5 more
doaj +1 more source
Linear and conic programming estimators in high dimensional errors‐in‐variables models [PDF]
We consider the linear regression model with observation error in the design. In this setting, we allow the number of covariates to be much larger than the sample size. Several new estimation methods have been recently introduced for this model.
A. Belloni, M. Rosenbaum, A. Tsybakov
semanticscholar +1 more source
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham +21 more
wiley +1 more source
Empirical Strategies to Eliminate Life-Cycle Bias in the Intergenerational Elasticity of Earnings Literature [PDF]
I argue that the empirical strategies for estimation of the intergenerational elasticity of lifetime earnings that are currently employed in the literature might not eliminate bias arising from life-cycle effects.
Jan Leonard Stuhler
core +3 more sources
As a kind of dependent random variables, the widely orthant dependent random variables, or WOD for short, have a very important place in dependence structures for the intricate properties.
Xufeng Huang +3 more
doaj +1 more source
Fast and robust estimation of the multivariate errors in variables model. [PDF]
In the multivariate errors in variable models one wishes to retrieve a linear relationship of the form y = ß x + a, where both x and y can be multivariate. The variables y and x are not directly measurable, but observed with measurement error.
Croux, Christophe +2 more
core
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Total least-squares EIO model, algorithms and applications
A functional model named EIO (Errors-In-Observations) is proposed for general TLS (total least-squares) adjustment. The EIO model only considers the correction of the observation vector, but doesn't consider to correct all elements in the design matrix ...
Xingsheng Deng +3 more
doaj +1 more source
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Effects of errors-in-variables on the internal and external reliability measures
The reliability theory has been an important element of the classical geodetic adjustment theory and methods in the linear Gauss-Markov model. Although errors-in-variables (EIV) models have been intensively investigated, little has been done about ...
Yanxiong Liu +4 more
doaj +1 more source

