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20102026
most citedOf copulas, quantiles, ranks and spectra: An -approach to spectral analysis

79 citations · 280 across the 39 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

stat.ME2018

Testing relevant hypotheses in functional time series via self-normalization

Holger Dette, Kevin Kokot, Stanislav Volgushev

In this paper we develop methodology for testing relevant hypotheses about functional time series in a tuning-free way. Instead of testing for exact equality, for example for the e…

math.ST2018

On Second Order Conditions in the Multivariate Block Maxima and Peak over Threshold Method

Axel Bücher, Stanislav Volgushev, Nan Zou

Second order conditions provide a natural framework for establishing asymptotic results about estimators for tail related quantities. Such conditions are typically tailored to the…

econ.EM2018

On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects

Antonio F. Galvao, Jiaying Gu, Stanislav Volgushev

Nonlinear panel data models with fixed individual effects provide an important set of tools for describing microeconometric data. In a large class of such models (including probit,…

stat.ME2018

Model assessment for time series dynamics using copula spectral densities: a graphical tool

Stefan Birr, Tobias Kley, Stanislav Volgushev

Finding parametric models that accurately describe the dependence structure of observed data is a central task in the analysis of time series. Classical frequency domain methods pr…

econ.EM2018★ 3 cited

Panel Data Quantile Regression with Grouped Fixed Effects

Jiaying Gu, Stanislav Volgushev

This paper introduces estimation methods for grouped latent heterogeneity in panel data quantile regression. We assume that the observed individuals come from a heterogeneous popul…