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Dedecker J, Merlevède F. Central limit theorem and almost sure results for the empirical estimator of superquantiles/CVaR in the stationary case. STATISTICS-ABINGDON 2022. [DOI: 10.1080/02331888.2022.2043325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
| | - Florence Merlevède
- LAMA, Univ Gustave Eiffel, Univ Paris Est Créteil, Marne-La-Vallée, France
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Guillotin-Plantard N, Pène F, Wendler M. Empirical processes for recurrent and transient random walks in random scenery. ESAIM-PROBAB STAT 2020. [DOI: 10.1051/ps/2019030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
In this paper, we are interested in the asymptotic behaviour of the sequence of processes (Wn(s,t))s,t∈[0,1] with
\begin{equation*}
W_n(s,t):=\sum_{k=1}^{\lfloor nt\rfloor}\big(\mathds{1}_{\{\xi_{S_k}\leq s\}}-s\big)
\end{equation*}
where (ξx, x ∈ ℤd) is a sequence of independent random variables uniformly distributed on [0, 1] and (Sn)n ∈ ℕ is a random walk evolving in ℤd, independent of the ξ’s. In M. Wendler [Stoch. Process. Appl. 126 (2016) 2787–2799], the case where (Sn)n ∈ ℕ is a recurrent random walk in ℤ such that (n−1/αSn)n≥1 converges in distribution to a stable distribution of index α, with α ∈ (1, 2], has been investigated. Here, we consider the cases where (Sn)n ∈ ℕ is either:
(a) a transient random walk in ℤd,
(b) a recurrent random walk in ℤd such that (n−1/dSn)n≥1 converges in distribution to a stable distribution of index d ∈{1, 2}.
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Caron E, Dede S. Asymptotic Distribution of Least Squares Estimators for Linear Models with Dependent Errors: Regular Designs. MATHEMATICAL METHODS OF STATISTICS 2019. [DOI: 10.3103/s1066530718040026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Dedecker J, Merlevède F. Density estimation for $\tilde{\beta}$-dependent sequences. Electron J Stat 2017. [DOI: 10.1214/17-ejs1249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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