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Ish: Introduction to strong mixing conditions

Bootstrap for dependent Hilbert space-valued random variables with application to von Mises statistics
Herold Dehling, Olimjon Sh. Sharipov, Martin Wendler
MaqolaBayesian Methods and Mixture ModelsJournal of Multivariate Analysis20144 iqtibos
ABI
Bootstrap for the sample mean and for<i>U</i>-statistics of mixing and near-epoch dependent processes
Olimjon Sh. Sharipov, Martin Wendler
MaqolaFinancial Risk and Volatility ModelingJournal of nonparametric statistics20123 iqtibos
ABI
Estimation of the variance of partial sums of dependent processes
Herold Dehling, Roland Fried, Olimjon Sh. Sharipov +2
MaqolaStatistical Methods and InferenceStatistics & Probability Letters20121 iqtibos
ABI
Laws of the iterated logarithm and an almost sure invariance principle for mixing B-valued random variables and autoregressive processes
Olimjon Sh. Sharipov
MaqolaProbability and Risk ModelsLithuanian Mathematical Journal20090 iqtibos
ABI
Bootstrap for the Sample Mean and for U-Statistics of Mixing and Near Epoch Dependent Processes
Olimjon Sh. Sharipov, Martin Wendler
PreprintFinancial Risk and Volatility ModelingarXiv (Cornell University)20090 iqtibos
ABI
Normal limits, nonnormal limits, and the bootstrap for quantiles of dependent data
Olimjon Sh. Sharipov, Martin Wendler
MaqolaStatistical Methods and InferenceStatistics & Probability Letters20120 iqtibos
ABI
Central limit theorem for random fields with values in Hilbert space under Hannan’s condition
Olimjon Sh. Sharipov, Dilnura Ruzieva
MaqolaProbability and Risk ModelsAIP conference proceedings20210 iqtibos
ABI
Функциональная предельная теорема для критического ветвящегося процесса со слабо зависимой иммиграцией
Sadillo Sharipov
MaqolaProbability and Risk ModelsДискретная математика20240 iqtibos
ABI
Glivenko-Cantelli Theorems
Olimjon Sh. Sharipov
BobAdvanced Proteomics Techniques and ApplicationsInternational Encyclopedia of Statistical Science20250 iqtibos
ABI