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| Main Authors: | , , , |
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| Format: | Preprint |
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2026
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| Online Access: | https://arxiv.org/abs/2603.07994 |
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| _version_ | 1866915845775556608 |
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| author | Chen, Yong Fang, Lin Li, Ying Zhou, Hongjuan |
| author_facet | Chen, Yong Fang, Lin Li, Ying Zhou, Hongjuan |
| contents | We study the statistical inference problem for a complex $α$-fractional Brownian bridge process $Z$ defined by the stochastic differential equation \[ \mathrm{d}Z_t = -α\frac{Z_t}{T - t} \mathrm{d}t + \mathrm{d}ζ_t, \quad t \in [0, T), \] with initial condition $Z_0 = 0$, where $α= λ- \sqrt{-1}w$, $λ> 0$, $w \in \mathbb{R}$ and $ζ_t$ is a complex fractional Brownian motion. We establish the well-posedness of the fractional Brownian bridge $Z_t$ over the time interval $[0, T]$ for all $H \in (0, 1)$, and prove the strong consistency and the asymptotic distribution for the classic least squares estimator of the parameter \(α\) when \(H \in \left(\frac{1}{2}, 1\right)\). The proofs are based on stochastic analysis elements about complex multiple Wiener-Itô integrals and the complex Malliavin calculus. Unlike the real-valued fractional Brownian bridge considered in the literature, the two-dimensional limiting distribution has non-Cauchy marginal distributions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_07994 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Parameter Estimation for Complex α-Fractional Brownian Bridge Chen, Yong Fang, Lin Li, Ying Zhou, Hongjuan Probability We study the statistical inference problem for a complex $α$-fractional Brownian bridge process $Z$ defined by the stochastic differential equation \[ \mathrm{d}Z_t = -α\frac{Z_t}{T - t} \mathrm{d}t + \mathrm{d}ζ_t, \quad t \in [0, T), \] with initial condition $Z_0 = 0$, where $α= λ- \sqrt{-1}w$, $λ> 0$, $w \in \mathbb{R}$ and $ζ_t$ is a complex fractional Brownian motion. We establish the well-posedness of the fractional Brownian bridge $Z_t$ over the time interval $[0, T]$ for all $H \in (0, 1)$, and prove the strong consistency and the asymptotic distribution for the classic least squares estimator of the parameter \(α\) when \(H \in \left(\frac{1}{2}, 1\right)\). The proofs are based on stochastic analysis elements about complex multiple Wiener-Itô integrals and the complex Malliavin calculus. Unlike the real-valued fractional Brownian bridge considered in the literature, the two-dimensional limiting distribution has non-Cauchy marginal distributions. |
| title | Parameter Estimation for Complex α-Fractional Brownian Bridge |
| topic | Probability |
| url | https://arxiv.org/abs/2603.07994 |