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mean difference or the risk difference. By using convexity principles of the relevant composed functions and the moments of …
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We propose simultaneous mean-variance regression for the linear estimation and approximation of conditional mean functions. In the presence of heteroskedasticity of unknown form, our method accounts for varying dispersion in the regression outcome across the support of conditioning variables by...
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. The relevant statistical properties are derived, and the useful results related to the convexity and concavity are …
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