Sage, A. J., Liu, Y., & Sato, J. (2022). From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression. American Statistician, 76(4), 414-430.
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Cita Chicago Style (17a ed.)
Sage, Andrew J., Yang Liu, y Joe Sato. "From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression."
American Statistician 76, no. 4 (2022): 414-430.
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Cita MLA (9a ed.)
Sage, Andrew J., et al. "From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression."
American Statistician, vol. 76, no. 4, 2022, pp. 414-430.
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