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Boundary Adaptive Local Polynomial Conditional Density Estimators. (2022). Ma, Xinwei ; Jansson, Michael ; Chandak, Rajita ; Cattaneo, Matias D.
In: Papers.
RePEc:arx:papers:2204.10359.

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  1. Chernozhukov, V., Chetverikov, D., and Kato, K. (2014). “Gaussian Approximation of Suprema of Empirical Processes,” Annals of Statistics, 42(4), 1564–1597.
    Paper not yet in RePEc: Add citation now

  2. Chernozhukov, V., Chetverikov, D., Kato, K., and Koike, Y. (2019). “Improved Central Limit Theorem and Bootstrap Approximations in High Dimensions,” arXiv:1912.10529.

  3. de la Peña, V. H. and Montgomery-Smith, S. J. (1995). “Decoupling Inequalities for the Tail Probabilities of Multivariate U-statistics,” Annals of Probability, 23(2), 806–816.
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  4. Fan, J. and Gijbels, I. (1996). Local Polynomial Modelling and Its Applications, New York: Chapman & Hall/CRC.
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  5. Giné, E., Latala, R., and Zinn, J. (2000). “Exponential and Moment Inequalities for U-statistics,” In High Dimensional Probability II: Springer.
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  6. Rio, E. (1994). “Local Invariance Principles and Their Application to Density Estimation,” Probability Theory and Related Fields, 98(1), 21–45.
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  7. van der Vaart, A. W. and Wellner, J. A. (1996). Weak Convergence and Empirical Processes: Springer.
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Cocites

Documents in RePEc which have cited the same bibliography

  1. Uniform Inference for Subsampled Moment Regression. (2024). Syrgkanis, Vasilis ; Ritzwoller, David M.
    In: Papers.
    RePEc:arx:papers:2405.07860.

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  2. A penalized two-pass regression to predict stock returns with time-varying risk premia. (2023). Scaillet, Olivier ; Bakalli, Gaetan ; Guerrier, Stephane.
    In: Post-Print.
    RePEc:hal:journl:hal-04325655.

    Full description at Econpapers || Download paper

  3. The discrepancy between min–max statistics of Gaussian and Gaussian-subordinated matrices. (2023). Turchi, Nicola ; Peccati, Giovanni.
    In: Stochastic Processes and their Applications.
    RePEc:eee:spapps:v:158:y:2023:i:c:p:315-341.

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  4. A penalized two-pass regression to predict stock returns with time-varying risk premia. (2023). Scaillet, Olivier ; Guerrier, Stephane ; Bakalli, Gaetan.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:237:y:2023:i:2:s0304407622002147.

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  5. Testing the martingale difference hypothesis in high dimension. (2023). Shao, Xiaofeng ; Jiang, Qing ; Chang, Jinyuan.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:235:y:2023:i:2:p:972-1000.

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  6. Moment-dependent phase transitions in high-dimensional Gaussian approximations. (2023). Preinerstorfer, David ; Kock, Anders Bredahl.
    In: Papers.
    RePEc:arx:papers:2310.12863.

    Full description at Econpapers || Download paper

  7. A Berry–Esseen bound for vector-valued martingales. (2022). Song, Kyungchul ; Kojevnikov, Denis.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:186:y:2022:i:c:s0167715222000517.

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  8. Gaussian approximations for high-dimensional non-degenerate U-statistics via exchangeable pairs. (2022). Peng, Liuhua ; Liu, Zhi ; Cheng, Guanghui.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:182:y:2022:i:c:s0167715221002571.

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  9. Yurinskiis Coupling for Martingales. (2022). Underwood, William G ; Masini, Ricardo P ; Cattaneo, Matias D.
    In: Papers.
    RePEc:arx:papers:2210.00362.

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  10. High-dimensional Data Bootstrap. (2022). Koike, Yuta ; Kato, Kengo ; Chetverikov, Denis ; Chernozhukov, Victor.
    In: Papers.
    RePEc:arx:papers:2205.09691.

    Full description at Econpapers || Download paper

  11. Boundary Adaptive Local Polynomial Conditional Density Estimators. (2022). Ma, Xinwei ; Jansson, Michael ; Chandak, Rajita ; Cattaneo, Matias D.
    In: Papers.
    RePEc:arx:papers:2204.10359.

    Full description at Econpapers || Download paper

  12. Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries. (2021). Wilhelm, Daniel ; Shaikh, Azeem ; Mogstad, Magne ; Romano, Joseph P.
    In: CeMMAP working papers.
    RePEc:ifs:cemmap:17/21.

    Full description at Econpapers || Download paper

  13. Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries. (2020). Wilhelm, Daniel ; Shaikh, Azeem ; Mogstad, Magne ; Romano, Joseph P.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:26883.

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  14. Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries. (2020). Mogstad, Magne ; Shaikh, Azeem M ; Wilhelm, Daniel ; Romano, Joseph P.
    In: CeMMAP working papers.
    RePEc:ifs:cemmap:10/20.

    Full description at Econpapers || Download paper

  15. Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries. (2020). Wilhelm, Daniel ; Shaikh, Azeem ; Mogstad, Magne ; Romano, Joseph P.
    In: CReAM Discussion Paper Series.
    RePEc:crm:wpaper:2008.

    Full description at Econpapers || Download paper

  16. Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries. (2020). Wilhelm, Daniel ; Shaikh, Azeem ; Mogstad, Magne ; Romano, Joseph P.
    In: Working Papers.
    RePEc:bfi:wpaper:2020-16.

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