Results 241 to 250 of about 1,082,837 (347)

Stein's method of moments

open access: yesScandinavian Journal of Statistics, Volume 52, Issue 4, Page 1594-1624, December 2025.
Abstract Stein operators allow one to characterize probability distributions via differential operators. Based on these characterizations, we develop a new method of point estimation for marginal parameters of strictly stationary and ergodic processes, which we call Stein's Method of Moments (SMOM). These SMOM estimators satisfy the desirable classical
Bruno Ebner   +4 more
wiley   +1 more source

Nonparametric inference for Poisson‐Laguerre tessellations

open access: yesScandinavian Journal of Statistics, Volume 52, Issue 4, Page 1816-1851, December 2025.
Abstract In this paper, we consider statistical inference for Poisson‐Laguerre tessellations in ℝd$$ {\mathbb{R}}^d $$. The object of interest is a distribution function F$$ F $$ which describes the distribution of the arrival times of the generator points.
Thomas van der Jagt   +2 more
wiley   +1 more source

Spectral analysis for the inference of noisy Hawkes processes

open access: yesScandinavian Journal of Statistics, Volume 52, Issue 4, Page 2061-2109, December 2025.
Abstract Classic estimation methods for Hawkes processes rely on the assumption that observed event times are indeed a realization of a Hawkes process, without considering any perturbation of the model. In practice, observations are often altered by some noise, and so we consider, in this work, the observations to be the indistinguishable union of ...
Anna Bonnet   +3 more
wiley   +1 more source

Lagrangian Relations and Quantum L ∞ Algebras. [PDF]

open access: yesCommun Math Phys
Jurčo B, Pulmann J, Zika M.
europepmc   +1 more source

Projection‐based estimators for matrix/tensor‐valued data

open access: yesScandinavian Journal of Statistics, Volume 52, Issue 4, Page 2152-2186, December 2025.
Abstract A general approach for extending estimators to matrix‐ and tensor‐valued data is proposed. The extension is based on using random projections to project out dimensions of a tensor and then computing a multivariate estimator for each projection. The mean of the obtained set of estimates is used as the final, joint estimate. In some basic cases,
Joni Virta   +2 more
wiley   +1 more source

Polarization and Gorenstein liaison

open access: yesJournal of the London Mathematical Society, Volume 112, Issue 6, December 2025.
Abstract A major open question in the theory of Gorenstein liaison is whether or not every arithmetically Cohen–Macaulay subscheme of Pn$\mathbb {P}^n$ can be G‐linked to a complete intersection. Migliore and Nagel showed that if such a scheme is generically Gorenstein (e.g., reduced), then, after re‐embedding so that it is viewed as a subscheme of Pn ...
Sara Faridi   +3 more
wiley   +1 more source

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