, 2013 International audienceAMS 2000 subject classifications: 62G08 62G20 62M20 68Q32 62H12 Keywords: Conditional quantile regression Functional covariate Iterative reweighted least squares Reproducing kernel Hilbert space Support vector machine a b s t r a c ...
Henchiri, Yousri +2 more
core +1 more source
An Expectation-Maximization Algorithm for Combining a Sample of Partially Overlapping Covariance Matrices. [PDF]
Axioms, 2023 Akdemir D, Somo M, Isidro-Sanchéz J.
europepmc +1 more source
Comparison of Multivariate and Univariate Models for Genetic Evaluation of Milk Yield based on Test Day Data [PDF]
, 2005 2000 Mathematics Subject Classification: 62H12, 62P99Multivariate and univariate lactation models were applied to test day data to predict genetic value of daily milk yield of a sample of Black and White cows.
Tsvetanova, Yanka
core
BOUNDS ON THE CONDITIONAL AND AVERAGE TREATMENT EFFECT WITH UNOBSERVED CONFOUNDING FACTORS. [PDF]
Ann Stat, 2022 Yadlowsky S +4 more
europepmc +1 more source
Multiresponse Robust Engineering: Case with Errors in Factor Levels [PDF]
, 2009 2000 Mathematics Subject Classification: 62J05, 62J10, 62F35, 62H12, 62P30.The model-based robust approach for improving the quality of the process is successfully applied to different industrial processes.
Velev, Kamen +2 more
core
Partial least squares regression with compositional response variables and covariates. [PDF]
J Appl Stat, 2021 Chen J, Zhang X, Hron K.
europepmc +1 more source
On Representations of Divergence Measures and Related Quantities in Exponential Families. [PDF]
Entropy (Basel), 2021 Bedbur S, Kamps U.
europepmc +1 more source
NGARCH, IGARCH and APARCH Models for Pathogens at Marine Recreational Sites
, 2020 The environmental literature lacks the use of volatility based models for environmental stochastic processes. To overcome this deficiency, we use EGARCH, IGARCH, TGARCH, GJR-GARCH, NGARCH, AVGARCH and APARCH models for functional relationships of the ...
Ghulam Ali
core
Multivariate Local Polynomial Regression For Time Series: Uniform Strong Consistency And Rates
, 1996 Local high-order polynomial fitting is employed for the estimation of the multivariate regression function m (x 1 , . . . , x d ) = E [y (Y d ) | X 1 = x 1 , . . . , X d = x d ], and of its partial derivatives, for stationary random processes {Y i , X i }
Elias Masry
core
Multivariate Extreme Value Theory - A Tutorial with Applications to Hydrology and Meteorology
Dependence Modeling, 2014 Dutfoy Anne, Parey Sylvie, Roche Nicolas
doaj +1 more source