Pages that link to "Item:Q1431205"
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The following pages link to A general projection framework for constrained smoothing. (Q1431205):
Displaying 18 items.
- Forward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods (Q5066434) (← links)
- Penalized I-spline monotone regression estimation (Q5082810) (← links)
- Approximation, characterization, and continuity of multivariate monotonic regression functions (Q5083440) (← links)
- Bayesian estimation on semiparametric models with shape restricted B-splines (Q5084918) (← links)
- A variable selection approach to monotonic regression with Bernstein polynomials (Q5124816) (← links)
- Bayesian regression on non-parametric mixed-effect models with shape-restricted Bernstein polynomials (Q5138187) (← links)
- Fast and flexible methods for monotone polynomial fitting (Q5221508) (← links)
- Nonparametric Bayesian Regression Under Combinations of Local Shape Constraints (Q5266580) (← links)
- A comparative study of monotone nonparametric kernel estimates (Q5290880) (← links)
- Finite sample performance of kernel-based regression methods for non-parametric additive models under common bandwidth selection criterion (Q5297093) (← links)
- Asymptotically minimax non–parametric function estimation with positivity constraints I (Q5400789) (← links)
- A Semiparametric Binary Regression Model Involving Monotonicity Constraints (Q5430614) (← links)
- Projection estimators of Pickands dependence functions (Q5503542) (← links)
- Understanding Estimators of Treatment Effects in Regression Discontinuity Designs (Q5864368) (← links)
- Smooth Backfitting of Proportional Hazards With Multiplicative Components (Q5881977) (← links)
- Bayesian regression with B‐splines under combinations of shape constraints and smoothness properties (Q6066199) (← links)
- Constrained data smoothing via optimal control (Q6078648) (← links)
- Bayesian nonparametric monotone regression (Q6626193) (← links)
