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Msaidizi
Regression modelQuasi-experimental / causal inference

Uthabiti wa mara mbili ulioimarishwa na akili bandia (ML-DR)

Uthabiti wa mara mbili ulioimarishwa na akili bandia (ML-DR) unachanganya mkakati wa kawaida wa utambulisho wa mara mbili (AIPW) na miundo rahisi ya akili bandia kwa ajili ya utendaji wa usumbufu — alama ya tabia na marejesho ya matokeo. Matokeo yake ni kigezo cha kisababishi ambacho ni thabiti ikiwa mojawapo ya vipengele vya ML imefafanuliwa kwa usahihi, na ambacho hupata uthibitisho halali, wa mizizi-n hata wakati miundo ya usumbufu inapokadiriwa kwa utaratibu wa juu-wenye vipimo vingi au wanafunzi wasio na kigezo.

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Vyanzo

  1. Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W., & Robins, J. (2018). Double/debiased machine learning for treatment and structural parameters. The Econometrics Journal, 21(1), C1-C68. DOI: 10.1111/ectj.12097
  2. Farrell, M. H., Liang, T., & Misra, S. (2021). Deep Neural Networks for Estimation and Inference. Econometrica, 89(1), 181-213. DOI: 10.3982/ECTA16901

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Machine Learning-Augmented Doubly Robust Estimation. ScholarGate. https://scholargate.app/sw/causal-inference/machine-learning-augmented-doubly-robust-estimation

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Imerejelewa na

ScholarGateMachine learning-augmented doubly robust estimation (Machine Learning-Augmented Doubly Robust Estimation). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/machine-learning-augmented-doubly-robust-estimation · Seti ya data: https://doi.org/10.5281/zenodo.20539026