Reference health

Penalized Adaptive Forecasting With Large Information Sets and Structural Changes

https://doi.org/10.2139/ssrn.3237444
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23/23 checkable references clean · checked 2026-08-27

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

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The 23 checked references that resolve
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MODELING NONSTATIONARY AND LEPTOKURTIC FINANCIAL TIME SERIES
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LASSO-Driven Inference in Time and Space
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Bond Risk Premia
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Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
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Regularization Paths for Generalized Linear Models via Coordinate Descent
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Comparing Nonparametric Versus Parametric Regression Fits
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TENET: Tail-Event driven NETwork risk
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Measuring Uncertainty
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Smoothly Clipped Absolute Deviation on High Dimensions
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An adaptive approach to forecasting three key macroeconomic variables for transitional China
resolves10.1007/s00440-005-0464-1
Propagation-Separation Approach for Local Likelihood Estimation
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Bootstrap confidence sets under model misspecification
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Regression Shrinkage and Selection Via the Lasso
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The 7 references without a DOI — listed, not checked
no DOI — not checkedThe Information in Long-Maturity Forward Rates
no DOI — not checkedSpatially Adaptive Regression Estimation: Propagation-Separation Approach
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no DOI — not checkedPenalized Maximum Likelihood Estimation and Effective Dimension, Annales de l'Institut Henri Poincar�
no DOI — not checkedMultiscale Parametric Approach for Change Point Detection
no DOI — not checkedOn Model Selection Consistency of Lasso
no DOI — not checkedDeregulated day-ahead electricity markets in Southeast Europe: Price forecasting and comparative structural analysis" by Antanina Hryshchuk, Stefan Lessmann
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