Non-parametric correlation structures and their respective embeddings in predictive analysis
Discover Applied SciencesIn data analysis, there is a natural connection between correlation and visual analysis. Correlation analysis enables the identification of relationships between attribute pairs in multidimensional datasets, while visual data analysis focuses on ...
Adam Dudáš
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icenReg: Regression Models for Interval Censored Data in R
Journal of Statistical Software, 2017 The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models.
Clifford Anderson-Bergman
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Chiral separation of chloroalkanes with the chromatographic column onboard Martian rovers
FEBS Letters, EarlyView.Computer image of the Rosalind Franklin Rover of ESA's ExoMars mission. ExoMars is scheduled to land on planet Mars in Oxia Planum in 2029. This area represents an interesting spot to look for biosignatures. Investigations of ExoMars include measurement on molecular chirality. We show that chiral chloroalkanes, that have been identified on Mars, can be
Asma Merzougui +4 more
wiley +1 more source
ESTIMATING NON-PARAMETRIC AND PARAMETRIC TRANSFORMATION FUNCTIONS FROM SURVEY DATA: AN APPLICATION OF MINIMUM CROSS-ENTROPY [PDF]
A model of a (convex) technology of representative and non-representative firms in a heterogeneous sector is presented in non-parametric and parametric versions. The heterogeneity is specified with error terms.
Hoveid, Oyvind
core
Parametric Interpretation of Non-Parametric Regression Models [PDF]
, 2014 The advantage of the parametric regression models is the possibility of interpretation of the parameters of the regression model, i.e. to determine the direction and strength of the influence of predictors on the dependent variable.
Stelmach, Jacek
core
A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma
FEBS Letters, EarlyView.Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos +9 more
wiley +1 more source
GDP nowcasting with ragged-edge data : A semi-parametric modelling [PDF]
This papier formalizes the process of forecasting unbalanced monthly data sets in order to obtain robust nowcasts and forecasts of quarterly GDP growth rate through a semi-parametric modelling.
Patrick Rakotomarolahy +2 more
core
Non-parametric estimation of forecast distributions in non-linear, non-gaussian state space models
, 2017 Non-Gaussian time series variables are prevalent in the economic and finance spheres, with state space models often employed to analyze such variables and, ultimately, to produce forecasts.
Ng, Jason Wei Jian (3718801)
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Non-parametric state space models (монография) [PDF]
, 2013 Аннот. на кн. : Добровидов А. В., Кошкин Г. М., Васильев В. А. Non-Parametric State Space Models : книга на англ. яз. Heber, USA : Kendrick Press, 2012.
Добровидов, Александр Викторович +2 more
core +1 more source
Smaller is better: nanobodies meet NMR
FEBS Letters, EarlyView.Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley +1 more source