Pages that link to "Item:Q2892225"
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The following pages link to Consistency of multidimensional convex regression (Q2892225):
Displaying 31 items.
- Fusion of hard and soft information in nonparametric density estimation (Q320029) (← links)
- Statistical modeling under partial identification: distinguishing three types of identification regions in regression analysis with interval data (Q473387) (← links)
- When is multidimensional screening a convex program? (Q533086) (← links)
- A property of projection residuals with applications to concave regression (Q1209709) (← links)
- Shape constraints in economics and operations research (Q1730901) (← links)
- Concave regression: value-constrained estimation and likelihood ratio-based inference (Q1739026) (← links)
- Adaptation in log-concave density estimation (Q1800802) (← links)
- Confidence intervals for multiple isotonic regression and other monotone models (Q2054474) (← links)
- Shape-constrained estimation in functional regression with Bernstein polynomials (Q2101402) (← links)
- Stratified incomplete local simplex tests for curvature of nonparametric multiple regression (Q2108481) (← links)
- An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems (Q2146447) (← links)
- The limiting behavior of isotonic and convex regression estimators when the model is misspecified (Q2188469) (← links)
- On the complexity of detecting convexity over a box (Q2191776) (← links)
- Nonparametric quantile frontier estimation under shape restriction (Q2255990) (← links)
- Majority judgment over a convex candidate space (Q2294328) (← links)
- On univariate function identification problems (Q2413095) (← links)
- Enhancing phenomenological yield functions with data: challenges and opportunities (Q2692822) (← links)
- On Convergence Rates of Convex Regression in Multiple Dimensions (Q2940544) (← links)
- On Degrees of Freedom of Projection Estimators With Applications to Multivariate Nonparametric Regression (Q3304846) (← links)
- Estimating the Probability that a Function Observed with Noise Is Convex (Q3386772) (← links)
- Representation theorem for convex nonparametric least squares (Q3521277) (← links)
- Sparse Convex Regression (Q4995070) (← links)
- A User-Friendly Computational Framework for Robust Structured Regression with the L<sub>2</sub> Criterion (Q5057231) (← links)
- Plausible Screening Using Functional Properties for Simulations with Large Solution Spaces (Q5060518) (← links)
- Computing Sensitivities for Distortion Risk Measures (Q5084612) (← links)
- A Computational Framework for Multivariate Convex Regression and Its Variants (Q5229914) (← links)
- Spectrahedral Regression (Q6155881) (← links)
- Generalized quantile and expectile properties for shape constrained nonparametric estimation (Q6168512) (← links)
- Subgradient regularized multivariate convex regression at scale (Q6573015) (← links)
- Max-affine regression via first-order methods (Q6583522) (← links)
- Shape-Constrained Kernel-Weighted Least Squares: Estimating Production Functions for Chilean Manufacturing Industries (Q6626283) (← links)
