Weak convergence of partial sums of absolutely regular sequences
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Cited by:
- Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2013.
"Testing Many Moment Inequalities,"
CeMMAP working papers
65/13, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2016. "Testing many moment inequalities," CeMMAP working papers CWP42/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2016. "Testing many moment inequalities," CeMMAP working papers 42/16, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2014. "Testing many moment inequalities," CeMMAP working papers 52/14, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2014. "Testing many moment inequalities," CeMMAP working papers CWP52/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2013. "Testing Many Moment Inequalities," CeMMAP working papers CWP65/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Moosup Kim & Sangyeol Lee, 2019. "Test for tail index constancy of GARCH innovations based on conditional volatility," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 71(4), pages 947-981, August.
- Victor Chernozhukov & Denis Chetverikov & Kengo Kato & Aureo de Paula, 2019.
"Inference on Causal and Structural Parameters using Many Moment Inequalities,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(5), pages 1867-1900.
- Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2013. "Inference on causal and structural parameters using many moment inequalities," Papers 1312.7614, arXiv.org, revised Oct 2018.
- Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2018. "Inference on causal and structural parameters using many moment inequalities," CeMMAP working papers CWP60/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Drees, Holger & Janßen, Anja & Neblung, Sebastian, 2021. "Cluster based inference for extremes of time series," Stochastic Processes and their Applications, Elsevier, vol. 142(C), pages 1-33.
- Arcones, Miguel A., 1995. "On the central limit theorem for U-statistics under absolute regularity," Statistics & Probability Letters, Elsevier, vol. 24(3), pages 245-249, August.
- Rootzén, Holger, 2009. "Weak convergence of the tail empirical process for dependent sequences," Stochastic Processes and their Applications, Elsevier, vol. 119(2), pages 468-490, February.
- Xiaohong Chen & Yuan Liao & Weichen Wang, 2022. "Inference on Time Series Nonparametric Conditional Moment Restrictions Using General Sieves," Papers 2301.00092, arXiv.org, revised Jan 2023.
- Salim Bouzebda & Boutheina Nemouchi, 2023. "Weak-convergence of empirical conditional processes and conditional U-processes involving functional mixing data," Statistical Inference for Stochastic Processes, Springer, vol. 26(1), pages 33-88, April.
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Keywords
central limit theorem absolute regularity total variation norm;Statistics
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