Pages that link to "Item:Q2499087"

The following pages link to Nonparametric regression with additional measurement errors in the dependent variable (Q2499087):

Displaying 20 items.

• Pricing of American options in discrete time using least squares estimates with complexity penalties (Q433745) (← links)
• Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors (Q553267) (← links)
• Analysis of least squares regression estimates in case of additional errors in the variables (Q710765) (← links)
• Partitioning estimation of local variance based on nearest neighbors under censoring (Q725665) (← links)
• Multivariate orthogonal series estimates for random design regression (Q935455) (← links)
• Optimal global rates of convergence for nonparametric regression with unbounded data (Q998985) (← links)
• Nonparametric regression with errors in variables and applications (Q1359762) (← links)
• A regression-based smoothing spline Monte Carlo algorithm for pricing American options in discrete time (Q2006839) (← links)
• Estimation of conditional distribution functions from data with additional errors applied to shape optimization (Q2121427) (← links)
• A dynamic look-ahead Monte Carlo algorithm for pricing Bermudan options (Q2467599) (← links)
• The non parametric regression estimate with dependent measurement errors (Q2815981) (← links)
• Nonparametric partitioning estimation of residual and local variance based on first and second nearest neighbours (Q3145414) (← links)
• (Q3455786) (← links)
• PRICING OF HIGH-DIMENSIONAL AMERICAN OPTIONS BY NEURAL NETWORKS (Q3576955) (← links)
• Necessary and sufficient conditions for the pointwise convergence of nearest neighbor regression function estimates (Q3942221) (← links)
• Rate of convergence of the density estimation of regression residual (Q4918191) (← links)
• Deep Neural Networks Algorithms for Stochastic Control Problems on Finite Horizon: Convergence Analysis (Q5151934) (← links)
• Fixed-design regression estimation based on real and artificial data (Q5299875) (← links)
• Bayesian neural tree models for nonparametric regression (Q6075185) (← links)
• Deep reinforcement learning in finite-horizon to explore the most probable transition pathway (Q6118140) (← links)