Results 201 to 210 of about 332,602 (334)
Relative-Error Prediction in Nonparametric Functional Statistics: Theory and Practice
Jacques Demongeot +3 more
openalex +1 more source
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi +2 more
wiley +1 more source
SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model. [PDF]
Lee SH +4 more
europepmc +1 more source
ABSTRACT Aim Bile acids accumulation in hepatocytes causes liver damage and contributes to the development of hepatocellular carcinoma. However, the association between serum bile acid levels and postoperative intrahepatic recurrence in hepatocellular carcinoma remains unclear.
Tomoaki Bekki +9 more
wiley +1 more source
Nonparametric quantile regression captures regional variability and scaling deviations in Atlantic surfclam length-weight relationships. [PDF]
Bidegain G +6 more
europepmc +1 more source
Random positive linear operators and their applications to nonparametric statistics [PDF]
José A. Adell +2 more
openalex
Edgeworth Expansions in Nonparametric Statistics [PDF]
Peter J. Bickel
openalex +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Risk functions with outcome measurement error. [PDF]
Edwards JK +7 more
europepmc +1 more source

