Diagnosing Bootstrap Success
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DOI: 10.1023/A:1003114420352
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Cited by:
- Kitagawa, Toru & Montiel Olea, José Luis & Payne, Jonathan & Velez, Amilcar, 2020.
"Posterior distribution of nondifferentiable functions,"
Journal of Econometrics, Elsevier, vol. 217(1), pages 161-175.
- Toru Kitagawa & Jose Luis Montiel Olea & Jonathan Payne & Amilcar Velez, 2019. "Posterior distribution of nondifferentiable functions," CeMMAP working papers CWP17/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Toru Kitagawa & José Luis Montiel Olea & Jonathan Payne & Amilcar Velez, 2019. "Posterior Distribution of Nondifferentiable Functions," Working Papers 147, Peruvian Economic Association.
- Zhexiao Lin & Fang Han, 2023. "On the failure of the bootstrap for Chatterjee's rank correlation," Papers 2303.14088, arXiv.org, revised Apr 2023.
- Giuseppe Cavaliere & Iliyan Georgiev, 2020.
"Inference Under Random Limit Bootstrap Measures,"
Econometrica, Econometric Society, vol. 88(6), pages 2547-2574, November.
- Giuseppe Cavaliere & Iliyan Georgiev, 2019. "Inference under random limit bootstrap measures," Papers 1911.12779, arXiv.org, revised Dec 2019.
- Giurcanu, Mihai C., 2012. "Bootstrapping in non-regular smooth function models," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 78-93.
- Akio Namba, 2021. "Bootstrapping the Stein-Rule Estimators," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 219-237, December.
- Adam Chwila & Tomasz Żądło, 2020. "On the choice of the number of Monte Carlo iterations and bootstrap replicates in Empirical Best Prediction," Statistics in Transition New Series, Polish Statistical Association, vol. 21(2), pages 35-60, June.
- Frédéric Lavancier & Arnaud Poinas & Rasmus Waagepetersen, 2021. "Adaptive estimating function inference for nonstationary determinantal point processes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(1), pages 87-107, March.
- Pötscher, Benedikt M. & Leeb, Hannes, 2009.
"On the distribution of penalized maximum likelihood estimators: The LASSO, SCAD, and thresholding,"
Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 2065-2082, October.
- Pötscher, Benedikt M. & Leeb, Hannes, 2007. "On the distribution of penalized maximum likelihood estimators: The LASSO, SCAD, and thresholding," MPRA Paper 5615, University Library of Munich, Germany.
- Keisuke Hirano & Jack R. Porter, 2012.
"Impossibility Results for Nondifferentiable Functionals,"
Econometrica, Econometric Society, vol. 80(4), pages 1769-1790, July.
- Hirano, Keisuke & Porter, Jack, 2009. "Impossibility Results for Nondifferentiable Functionals," MPRA Paper 15990, University Library of Munich, Germany.
- Donald W.K. Andrews & Sukjin Han, 2008. "Invalidity of the Bootstrap and the m Out of n Bootstrap for Interval Endpoints Defined by Moment Inequalities," Cowles Foundation Discussion Papers 1671, Cowles Foundation for Research in Economics, Yale University.
- Yu, Ping, 2012. "Likelihood estimation and inference in threshold regression," Journal of Econometrics, Elsevier, vol. 167(1), pages 274-294.
- Davidson, Russell & MacKinnon, James G., 2006.
"The power of bootstrap and asymptotic tests,"
Journal of Econometrics, Elsevier, vol. 133(2), pages 421-441, August.
- James G. MacKinnon & Russell Davidson, 2004. "The Power Of Bootstrap And Asymptotic Tests," Working Paper 1035, Economics Department, Queen's University.
- Cavaliere, Giuseppe & Nielsen, Heino Bohn & Pedersen, Rasmus Søndergaard & Rahbek, Anders, 2022.
"Bootstrap inference on the boundary of the parameter space, with application to conditional volatility models,"
Journal of Econometrics, Elsevier, vol. 227(1), pages 241-263.
- Giuseppe Cavaliere & Heino Bohn Nielsen & Rasmus Søndergaard Pedersen & Anders Rahbek, 2018. "Bootstrap Inference On The Boundary Of The Parameter Space With Application To Conditional Volatility Models," Discussion Papers 18-10, University of Copenhagen. Department of Economics.
- Dimitri Karlis & Valentin Patilea, 2004. "Bootstrap Confidence Intervals in Mixtures of Discrete Distributions," Working Papers 2004-06, Center for Research in Economics and Statistics.
- Moreira, Marcelo J. & Mourão, Rafael & Moreira, Humberto Ataíde, 2016.
"A critical value function approach, with an application to persistent time-series,"
FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE)
778, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Marcelo Moreira & Rafael Mourão & Humberto Moreira, 2016. "A critical value function approach, with an application to persistent time-series," CeMMAP working papers CWP24/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chwila Adam & Żądło Tomasz, 2020. "On the choice of the number of Monte Carlo iterations and bootstrap replicates in Empirical Best Prediction," Statistics in Transition New Series, Statistics Poland, vol. 21(2), pages 35-60, June.
- Giovanni Angelini & Giuseppe Cavaliere & Luca Fanelli, 2022. "Bootstrap inference and diagnostics in state space models: With applications to dynamic macro models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 3-22, January.
- Arnold Janssen, 2005. "Resampling student'st-type statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 57(3), pages 507-529, September.
- Wang, Weizhen, 2013. "A note on bootstrap confidence intervals for proportions," Statistics & Probability Letters, Elsevier, vol. 83(12), pages 2699-2702.
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Keywords
Bootstrap convergence; local asymptotic equivariance; local asymptotic sufficiency; asymptotic independence; superefficiency points; convolution theorem;All these keywords.
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