Pages that link to "Item:Q1918137"
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The following pages link to Optimal designs for approximating the path of a stochastic process (Q1918137):
Displaying 23 items.
- Global smoothness estimation of a Gaussian process from general sequence designs (Q405335) (← links)
- Estimation of number of the derivatives of a Gaussian process (Q869469) (← links)
- Assessing the number of mean square derivatives of a Gaussian process (Q952829) (← links)
- Asymptotically optimal weighted numerical integration (Q1265136) (← links)
- Uniform reconstruction of Gaussian processes (Q1275934) (← links)
- Markovian experiments that approximate optimal designs for quantal response curves (Q1283290) (← links)
- Hyperbolic cross designs for approximation of random fields (Q1298707) (← links)
- On convergence of the uniform norms for Gaussian processes and linear approximation problems (Q1429122) (← links)
- Bayesian optimal sequential design for nonparametric regression via inhomogeneous evolutionary MCMC (Q1731202) (← links)
- Optimal designs for weighted approximation and integration of stochastic processes on \([0,\infty)\) (Q1883588) (← links)
- Optimal designs for approximating the path of a stochastic process (Q1918137) (← links)
- Optimal designs for some stochastic processes whose covariance is a function of the mean (Q1945063) (← links)
- An algorithm for the computation of optimum designs under a given covariance structure (Q1966363) (← links)
- Spline approximation of random processes and design problems (Q1970846) (← links)
- K-optimal designs for parameters of shifted Ornstein-Uhlenbeck processes and sheets (Q2409624) (← links)
- Stochastic structure of asymptotic quantization errors (Q2489813) (← links)
- Optimal sparse designs for process flexibility via probabilistic expanders (Q2795875) (← links)
- (Q3098676) (← links)
- A NOTE ON SAMPLING DESIGNS FOR RANDOM PROCESSES WITH NO QUADRATIC MEAN DERIVATIVE (Q3429838) (← links)
- Exactly optimal sampling designs for processes with a product covariance structure (Q4458920) (← links)
- Optimal Designs for Approximating a Stochastic Process with Respect to a Minimax Criterion (Q4878156) (← links)
- Optimal approximation of stochastic differential equations by adaptive step-size control (Q4955859) (← links)
- New perspectives in smoothing: minimax estimation of the mean and principal components of discretized functional data (Q6168063) (← links)