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    The effect of FDI on the host countries’ employment: A meta-regression analysis

    Published in Russian Journal of Economics (2023)
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    Infrared Image Conversion from Grayscale to Temperature Using Linear Regression

    Published in Scientific Bulletin (2025)
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    Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

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    Convolution-Smoothing-Based Locally Sparse Estimation for Functional Quantile Regression

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    gkwreg: An R Package for Generalized Kumaraswamy Regression Models for Bounded Data

    Published in Journal of Open Source Software (2026)
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    Structure and sequence characteristics of 5′-stem-loop 1 modulate the escape from nsp1-mediated repression in SARS-CoV-2 variants

    Published in Nucleic Acids Research (2026)
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    Financial development and shadow economy in Africa: evidence from panel quantile regression

    Published 2023-06
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    Bootstrap approach for estimating seemingly unrelated regressions with varying degrees of autocorrelated disturbances

    Published 2013
    Subjects: “…Seemingly unrelated regressions…”
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    Frequentist and bayesian estimation of parameters of linear regression model with correlated explanatory variables

    Published 2017
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    Estimation of the Derivatives of a Function in a Convolution Regression Model with Random Design

    Published in Advances in Statistics (2015)
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    Single Functional Index Quantile Regression for Functional Data with Missing Data at Random

    Published in Econometrics (2023)
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    Feature selection for probabilistic load forecasting via sparse penalized quantile regression

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    OLR-WAA: Adaptive and Drift-Resilient Online Regression with Dynamic Weighted Averaging

    Published in DSE (2025)
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    Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation

    Published in JMLR (2026)
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    Inferring Change Points in High-Dimensional Regression via Approximate Message Passing

    Published in JMLR (2026)
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    Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

    Published in JMLR (2026)
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    An improper estimator with optimal excess risk in misspecified density estimation and logistic regression

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    Estimating Network-Mediated Causal Effects via Principal Components Network Regression

    Published in JMLR (2026)
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    Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation

    Published in JMLR (2026)
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    Inferring Change Points in High-Dimensional Regression via Approximate Message Passing

    Published in JMLR (2026)
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