Nonparametric function estimation subject to monotonicity, convexity and other shape constraints
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Publication:530593
DOI10.1016/j.jeconom.2010.12.001zbMath1441.62870OpenAlexW2094538114MaRDI QIDQ530593
Thomas S. Shively, Paul Damien, Stephen G. Walker
Publication date: 10 August 2016
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2010.12.001
small sample propertiesfixed-knot splinesfree-knot splineslog-concave likelihood functionsMCMC sampling algorithm
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Cites Work
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- Nonparametric state price density estimation using constrained least squares and the bootstrap
- Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models
- Consumer preferences and demand systems
- Semiparametric binary regression models under shape constraints with an application to Indian schooling data
- The Müntz-Szatz demand system. An application of a globally well behaved series expansion
- Some limit theorems for empirical processes (with discussion)
- Bayesian thinking, modeling and computation.
- Imposing curvature restrictions on flexible functional forms
- Nonparametric regression using Bayesian variable selection
- Isotonic, convex and related splines
- On the bias in flexible functional forms and an essentially unbiased form. The Fourier flexible form
- Estimating a smooth monotone regression function
- Nonparametric option pricing under shape restrictions
- Nonparametric estimation of American options' exercise boundaries and call prices
- New approaches to Bayesian consistency
- Estimation of a convex function: Characterizations and asymptotic theory.
- Markov chains for exploring posterior distributions. (With discussion)
- American options with stochastic dividends and volatility: a nonparametric investigation
- On Bayesian Consistency
- Bayesian Isotonic Regression and Trend Analysis
- Sampling-Based Approaches to Calculating Marginal Densities
- A Bayesian Approach to Non-Parametric Monotone Function Estimation
- Additive Nonparametric Regression With Autocorrelated Errors
- Automatic Bayesian Curve Fitting
- Gibbs Sampling for Bayesian Non-Conjugate and Hierarchical Models by Using Auxiliary Variables
- Detecting the Presence of Mixing with Multiscale Maximum Likelihood
- Adaptive Rejection Sampling for Gibbs Sampling
- Bayesian Analysis of Binary and Polychotomous Response Data
- The Nonparametric Identification of Treatment Effects in Duration Models
- Inference on Regressions with Interval Data on a Regressor or Outcome
- Bayesian Semiparametric Isotonic Regression for Count Data
- Convergence of stochastic processes
