scientific article
From MaRDI portal
Publication:4042533
zbMath0291.62090MaRDI QIDQ4042533
Jerome Sacks, Donald Ylvisaker
Publication date: 1970
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Optimal statistical designs (62K05) Stationary stochastic processes (60G10) Inner product spaces and their generalizations, Hilbert spaces (46C99)
Related Items (37)
Optimal sampling designs for nonparametric estimation of spatial averages of random fields ⋮ Approximation of linear functionals on a Banach space with a Gaussian measure ⋮ Optimal designs for weighted approximation and integration of stochastic processes on \([0,\infty)\) ⋮ Probabilistic setting of information-based complexity ⋮ Integration and \(L_ 2\)-approximation: Average case setting with isotropic Wiener measure for smooth functions ⋮ Cubature of random fields by product-type integration rules ⋮ A probabilistic theory for error estimation in automatic integration ⋮ Another look at adaptation on the average ⋮ Locally lattice sampling designs for isotropic random fields ⋮ Recent developments in information-based complexity ⋮ Comparison of numerical integration formulas ⋮ A survey of average case complexity for linear multivariate problems ⋮ A study on the average case error of composite Newton-Cotes quadratures. ⋮ On average complexity of global optimization problems ⋮ Average case complexity of linear multivariate problems. I: Theory ⋮ Average case complexity of linear multivariate problems. II: Applications ⋮ Piecewise polynomial approximation on optimal meshes ⋮ On the optimal choice of nodes in the collocation-projection method for solving linear operator equations ⋮ Quadrature of smooth stochastic processes ⋮ Average case complexity of multivariate integration ⋮ Optimal approximation of stochastic differential equations by adaptive step-size control ⋮ Integration and approximation of multivariate functions: average case complexity with isotropic Wiener measure ⋮ A modern retrospective on probabilistic numerics ⋮ On adaptive information with varying cardinality for linear problems with elliptically contoured measures ⋮ Asymptotically optimal weighted numerical integration ⋮ Optimal integration of Lipschitz functions with a Gaussian weight ⋮ Robust designs for series estimation ⋮ On the average complexity of multivariate problems ⋮ Uniform reconstruction of Gaussian processes ⋮ Information of varying cardinality ⋮ On optimal allocations for estimating the surface of a random field ⋮ Minimax results for estimating integrals of analytic processes ⋮ Linear information for approximation of the Itô integrals ⋮ Predicting random fields with increasing dense observations ⋮ Spatial adaption for predicting random functions ⋮ Comment on ``Probabilistic integration: a role in statistical computation? ⋮ Asymptotic properties of a maximum likelihood estimator with data from a Gaussian process
This page was built for publication: