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Complete asymptotic expansions and the high-dimensional Bingham distributions

Author

Listed:
  • Armine Bagyan

    (Pennsylvania State University)

  • Donald Richards

    (Pennsylvania State University)

Abstract

For $$d \ge 2$$ d ≥ 2 , let X be a random vector having a Bingham distribution on $${\mathcal {S}}^{d-1}$$ S d - 1 , the unit sphere centered at the origin in $${\mathbb {R}}^d$$ R d , and let $$\Sigma $$ Σ denote the symmetric matrix parameter of the distribution. Let $$\Psi (\Sigma )$$ Ψ ( Σ ) be the normalizing constant of the distribution and let $$\nabla \Psi _d(\Sigma )$$ ∇ Ψ d ( Σ ) be the matrix of first-order partial derivatives of $$\Psi (\Sigma )$$ Ψ ( Σ ) with respect to the entries of $$\Sigma $$ Σ . We derive complete asymptotic expansions for $$\Psi (\Sigma )$$ Ψ ( Σ ) and $$\nabla \Psi _d(\Sigma )$$ ∇ Ψ d ( Σ ) , as $$d \rightarrow \infty $$ d → ∞ ; these expansions are obtained subject to the growth condition that $$\Vert \Sigma \Vert $$ ‖ Σ ‖ , the Frobenius norm of $$\Sigma $$ Σ , satisfies $$\Vert \Sigma \Vert \le \gamma _0 d^{r/2}$$ ‖ Σ ‖ ≤ γ 0 d r / 2 for all d, where $$\gamma _0 > 0$$ γ 0 > 0 and $$r \in [0,1)$$ r ∈ [ 0 , 1 ) . Consequently, we obtain for the covariance matrix of X an asymptotic expansion up to terms of arbitrary degree in $$\Sigma $$ Σ . Using a range of values of d that have appeared in a variety of applications of high-dimensional spherical data analysis, we tabulate the bounds on the remainder terms in the expansions of $$\Psi (\Sigma )$$ Ψ ( Σ ) and $$\nabla \Psi _d(\Sigma )$$ ∇ Ψ d ( Σ ) and we demonstrate the rapid convergence of the bounds to zero as r decreases.

Suggested Citation

  • Armine Bagyan & Donald Richards, 2024. "Complete asymptotic expansions and the high-dimensional Bingham distributions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(2), pages 540-563, June.
  • Handle: RePEc:spr:testjl:v:33:y:2024:i:2:d:10.1007_s11749-023-00910-w
    DOI: 10.1007/s11749-023-00910-w
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    References listed on IDEAS

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    1. Bingham, Christopher & Chang, Ted & Richards, Donald, 1992. "Approximating the matrix Fisher and Bingham distributions: Applications to spherical regression and procrustes analysis," Journal of Multivariate Analysis, Elsevier, vol. 41(2), pages 314-337, May.
    2. Elena Hadjicosta & Donald Richards, 2020. "Integral transform methods in goodness-of-fit testing, II: the Wishart distributions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(6), pages 1317-1370, December.
    3. Kume, A. & Walker, S.G., 2014. "On the Bingham distribution with large dimension," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 345-352.
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