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  1. Alquier P, Lounici K (2011) PAC-Bayesian bounds for sparse regression estimation with exponential weights. Electron J Stat 5:127–145

  2. Agostinelli C, Greco L (2013) A weighted strategy to handle likelihood uncertainty in Bayesian inference. Comput Stat 28(1):319–239

  3. Basu A, Harris IR, Hjort NL, Jones MC (1998) Robust and efficient estimation by minimising a density power divergence. Biometrika 85:549–559

  4. Basu A, Shioya H, Park C (2011) Statistical inference: the minimum distance approach. Chapman & Hall, Boca Raton

  5. Ghosh A, Basu A (2016) Robust Bayes estimation using the density power divergence. Ann Inst Stat Math 68(2):413–437

  6. Ghosh A, Basu A (2017) General robust Bayes pseudo-posterior: exponential convergence results with applications. ArXiv Pre-print arXiv:1708.09692 [math.ST]

  7. Gong D, Zhao X, Medioni G (2012) Robust multiple manifolds structure learning. In: Proceedings of the 29th international conference on international conference on machine learning, Omnipress, pp 25–32

  8. Greco L, Racugno W, Ventura L (2008) Robust likelihood functions in Bayesian analysis. J Stat Plan Inference 138:1258–1270

  9. Gruenwald P, van Ommen T (2017) Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it. Bayesian Anal 12:1069–1103

  10. Hampel FR (1974) The influence curve and its role in robust estimation. J Am Stat Assoc 69:383–393

  11. Hooker G, Vidyashankar AN (2014) Bayesian Model Robustness via Disparities. TEST 23(3):556–584

  12. Warwick J, Jones MC (2005) Choosing a robustness tuning parameter. J Stat Comput Simul 75:581–588

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Correspondence to Abhik Ghosh.

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Ghosh, A. Comments on: On active learning methods for manifold data. TEST 29, 34–37 (2020).

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