Zobrazeno 1 - 10
of 208
pro vyhledávání: '"WOOD, ANDREW T. A."'
Functional data analysis offers a diverse toolkit of statistical methods tailored for analyzing samples of real-valued random functions. Recently, samples of time-varying random objects, such as time-varying networks, have been increasingly encounter
Externí odkaz:
http://arxiv.org/abs/2312.07741
The paper considers the distribution of a general linear combination of central and non-central chi-square random variables by exploring the branch cut regions that appear in the standard Laplace inversion process. Due to the original interest from t
Externí odkaz:
http://arxiv.org/abs/2305.07434
The restricted polynomially-tilted pairwise interaction (RPPI) distribution gives a flexible model for compositional data. It is particularly well-suited to situations where some of the marginal distributions of the components of a composition are co
Externí odkaz:
http://arxiv.org/abs/2305.07349
Score matching is an estimation procedure that has been developed for statistical models whose probability density function is known up to proportionality but whose normalizing constant is intractable, so that maximum likelihood is difficult or impos
Externí odkaz:
http://arxiv.org/abs/2303.08987
Principal component analysis (PCA) is a standard dimensionality reduction technique used in various research and applied fields. From an algorithmic point of view, classical PCA can be formulated in terms of operations on a multivariate Gaussian like
Externí odkaz:
http://arxiv.org/abs/2211.03181
We prove a central limit theorem (CLT) for the Frechet mean of independent and identically distributed observations in a compact Riemannian manifold assuming that the population Frechet mean is unique. Previous general CLT results in this setting hav
Externí odkaz:
http://arxiv.org/abs/2210.17191
Many probabilistic models that have an intractable normalizing constant may be extended to contain covariates. Since the evaluation of the exact likelihood is difficult or even impossible for these models, score matching was proposed to avoid explici
Externí odkaz:
http://arxiv.org/abs/2203.09864
Autor:
Scealy, Janice L., Wood, Andrew T. A.
Compositional data and multivariate count data with known totals are challenging to analyse due to the non-negativity and sum-to-one constraints on the sample space. It is often the case that many of the compositional components are highly right-skew
Externí odkaz:
http://arxiv.org/abs/2012.12461
Autor:
Foddai, Marco, Carter, Chris G., Anderson, Kelli, Ruff, Nicole, Wang, Shuangyao, Wood, Andrew T., Semmens, Jayson M.
Publikováno v:
In Aquaculture 30 August 2023 573
Akademický článek
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