activity
20122025
most citedDegenerate U- and V-statistics under weak dependence: Asymptotic theory and bootstrap consistency

54 citations · 61 across the 9 of their papers we have counts for

collaborators

10 papers

math.ST2025

Trend estimation for time series with polynomial-tailed noise

Michael H. Neumann, Anne Leucht

For time series data observed at non-random and possibly non-equidistant time points, we estimate the trend function nonparametrically. Under the assumption of a bounded total vari…

math.ST2024

Gaussian Approximation for Lag-Window Estimators and the Construction of Confidence bands for the Spectral Density

Jens-Peter Kreiss, Anne Leucht, Efstathios Paparoditis

In this paper we consider the construction of simultaneous confidence bands for the spectral density of a stationary time series using a Gaussian approximation for classical lag-wi…

stat.AP2023★ 2 cited

Bayesian mortality modelling with pandemics: a vanishing jump approach

Julius Goes, Karim Barigou, Anne Leucht

This paper extends the Lee-Carter model for single- and multi-populations to account for pandemic jump effects of vanishing kind, allowing for a more comprehensive and accurate rep…

math.ST2023

A log-linear model for non-stationary time series of counts

Anne Leucht, Michael H. Neumann

We propose a new model for nonstationary integer-valued time series which is particularly suitable for data with a strong trend. In contrast to popular Poisson-INGARCH models, but…

math.ST2022

A bootstrap functional central limit theorem for time-varying linear processes

Carina Beering, Anne Leucht

We provide a functional central limit theorem for a broad class of smooth functions for possibly noncausal multivariate linear processes with time-varying coefficients. Since the l…

math.PR2020

Mixing properties of non-stationary INGARCH(1,1) processes

Paul Doukhan, Anne Leucht, Michael H Neumann

We derive mixing properties for a broad class of Poisson count time series satisfying a certain contraction condition. Using specific coupling techniques, we prove absolute regular…

math.ST2020

Testing Equality of Spectral Density Operators for Functional Processes

Anne Leucht, Efstathios Paparoditis, Daniel Rademacher +1

The problem of comparing the entire second order structure of two functional processes is considered and a -type statistic for testing equality of the corresponding spectral d…

stat.ME2018★ 5 cited

Testing equality of spectral density operators for functional linear processes

Anne Leucht, Efstathios Paparoditis, Theofanis Sapatinas

The problem of testing equality of the entire second order structure of two independent functional linear processes is considered. A fully functional -type test is developed w…

math.ST2017

On Integrated Convergence Rate of an Isotonic Regression Estimator for Multivariate Observations

Konstantinos Fokianos, Anne Leucht, Michael H. Neumann

We consider a general monotone regression estimation where we allow for independent and dependent regressors. We propose a modification of the classical isotonic least squares esti…

math.ST2012★ 54 cited

Degenerate U- and V-statistics under weak dependence: Asymptotic theory and bootstrap consistency

Anne Leucht

We devise a general result on the consistency of model-based bootstrap methods for U- and V-statistics under easily verifiable conditions. For that purpose, we derive the limit dis…