Results 11 to 20 of about 94 (90)
On the use of L-functionals in regression models
Open Mathematics, 2023 In this article, we survey and unify a large class or LL-functionals of the conditional distribution of the response variable in regression models.
Hössjer Ola, Karlsson Måns
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Majalah Ilmiah Matematika dan Statistika, 2022 Tuberculosis is a bacterial infection caused by Mycobacterium tuberculosis. Transmission of tuberculosis (TBC) can occur due to environmental factors and community behavior. West Java is Indonesia's province with the highest number of tuberculosis cases.
Niken Evitasari +2 more
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Nonparametric relative recursive regression
Dependence Modeling, 2020 In this paper, we propose the problem of estimating a regression function recursively based on the minimization of the Mean Squared Relative Error (MSRE), where outlier data are present and the response variable of the model is positive.
Slaoui Yousri, Khardani Salah
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Analyzing high dimensional correlated data using feature ranking and classifiers
Computational and Mathematical Biophysics, 2019 The Illumina Infinium HumanMethylation27 (Illumina 27K) BeadChip assay is a relatively recent high-throughput technology that allows over 27,000 CpGs to be assayed.
Patil Abhijeet R +3 more
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Bias-variance decomposition in Genetic Programming
Open Mathematics, 2016 We study properties of Linear Genetic Programming (LGP) through several regression and classification benchmarks. In each problem, we decompose the results into bias and variance components, and explore the effect of varying certain key parameters on the
Kowaliw Taras, Doursat René
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Nonparametric expectile shortfall regression for functional data
Demonstratio MathematicaThis work addresses the issue of financial risk analysis by introducing a novel expected shortfall (ES) regression model, which employs expectile regression to define the shortfall threshold in financial risk management.
Almanjahie Ibrahim M. +4 more
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Parameter Estimation of the Partially Linear Quantile Regression Model Under Monotonic Constraints
Journal of Mathematics, Volume 2025, Issue 1, 2025.The paper brings forward the partially linear quantile regression model by incorporating monotonic constraints, which are common in real‐world relationships between variables. It introduces two novel parameter estimation methods, that is, the coordinate descent method and the profile likelihood method, which eliminate the extensive tuning and simplify ...
Shujin Wu +4 more
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Dependence Modeling, 2019 We study nonparametric estimators of conditional Kendall’s tau, a measure of concordance between two random variables given some covariates. We prove non-asymptotic pointwise and uniform bounds, that hold with high probabilities.
Derumigny Alexis, Fermanian Jean-David
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Untangling sample and population level estimands in Bayesian causal computation
Journal of Causal InferenceModel-based Bayesian inference for sample and population-level causal estimands has been growing in popularity. This literature routinely emphasizes clear specification of the target estimand, however blind implementation of standard computational ...
Oganisian Arman
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Estimation of the tail-index in a conditional location-scale family of heavy-tailed distributions
Dependence Modeling, 2019 We introduce a location-scale model for conditional heavy-tailed distributions when the covariate is deterministic. First, nonparametric estimators of the location and scale functions are introduced.
Ahmad Aboubacrène Ag +3 more
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