Maximum Likelihood Estimation of a Multi-Dimensional Log-Concave Density
From MaRDI portal
Publication:4632644
DOI10.1111/j.1467-9868.2010.00753.xzbMath1411.62055arXiv0804.3989OpenAlexW2146433171MaRDI QIDQ4632644
Madeleine Cule, Michael Stewart, Richard J. Samworth
Publication date: 30 April 2019
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0804.3989
maximum likelihood estimationcomputational geometrylog-concavitynonparametric density estimationShor's \(r\)-algorithmnon-differentiable convex optimization
Density estimation (62G07) Point estimation (62F10) Convex programming (90C25) Research exposition (monographs, survey articles) pertaining to statistics (62-02)
Related Items
Least-squares estimation of a convex discrete distribution, Least squares estimation of a \(k\)-monotone density function, Computing confidence intervals for log-concave densities, Obtaining minimax lower bounds: a review, Generalized bagging, Random concave functions, Confidence Bands for a Log-Concave Density, Fusion of hard and soft information in nonparametric density estimation, Universal inference, Flexible families of symmetric and asymmetric distributions based on the two-piece skew normal distribution, The generalized Pearson family of distributions and explicit representation of the associated density functions, On univariate function identification problems, Bracketing numbers of convex and \(m\)-monotone functions on polytopes, Nonparametric estimation of multivariate elliptic densities via finite mixture sieves, Assessing log-concavity of multivariate densities, The limiting behavior of isotonic and convex regression estimators when the model is misspecified, Completely monotone distributions: mixing, approximation and estimation of number of species, Optimal rates for estimation of two-dimensional totally positive distributions, Optimization of relative arbitrage, Shape Constrained Kernel PDF and PMF Estimation, Inference for Local Parameters in Convexity Constrained Models, Specification Testing of Regression Models with Mixed Discrete and Continuous Predictors, High Dimensional Change Point Estimation via Sparse Projection, Approximations of semicontinuous functions with applications to stochastic optimization and statistical estimation, Variational analysis of constrained M-estimators, A Functional Data Analysis Approach to the Estimation of Densities over Complex Regions, Local continuity of log-concave projection, with applications to estimation under model misspecification, Active set algorithms for estimating shape-constrained density ratios, Bi-log-concave distribution functions, Estrogen receptor expression on breast cancer patients' survival under shape-restricted Cox regression model, Consistency of multivariate log-concave density estimators, Enforcing shape constraints on a probability density estimate using an additive adjustment curve, High-dimensional nonparametric density estimation via symmetry and shape constraints, Tuning-Free Heterogeneity Pursuit in Massive Networks, A semiparametric mixture method for local false discovery rate estimation from multiple studies, A Bayesian nonparametric approach to log-concave density estimation, Global risk bounds and adaptation in univariate convex regression, A Computational Framework for Multivariate Convex Regression and Its Variants, Univariate log-concave density estimation with symmetry or modal constraints, Bimonotone subdivisions of point configurations in the plane, Reducing Simulation Input-Model Risk via Input Model Averaging, Inference for the mode of a log-concave density, Fast multivariate log-concave density estimation, Exact solutions in log-concave maximum likelihood estimation, Improved inference for vaccine-induced immune responses via shape-constrained methods
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Clustering with mixtures of log-concave distributions
- Maximum likelihood estimation of a log-concave density and its distribution function: basic properties and uniform consistency
- Quasi-concave density estimation
- Nonparametric estimation of multivariate convex-transformed densities
- Inference and modeling with log-concave distributions
- Choice of neighbor order in nearest-neighbor classification
- A Bayesian approach to bandwidth selection for multivariate kernel density estimation
- Limit distribution theory for maximum likelihood estimation of a log-concave density
- Smoothed cross-validation
- Logconcavity versus logconvexity: A complete characterization
- An implementation of Shor's \(r\)-algorithm
- Multivariate locally adaptive density estimation.
- Convergence rates for unconstrained bandwidth matrix selectors in multivariate kernel density estimation
- MCMC convergence diagnosis via multivariate bounds on log-concave densities
- Density estimation by wavelet thresholding
- On bandwidth variation in kernel estimates. A square root law
- Estimation of a convex function: Characterizations and asymptotic theory.
- Rates of convergence of the Hastings and Metropolis algorithms
- Theoretical properties of the log-concave maximum likelihood estimator of a multidimensional density
- Consistency of multivariate log-concave density estimators
- Log-concave probability and its applications
- Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
- Remarks on Some Nonparametric Estimates of a Density Function
- Aggregation and Social Choice: A Mean Voter Theorem
- Aggregation and Imperfect Competition: On the Existence of Equilibrium
- An automatic bandwidth selector for kernel density estimation
- Variable Kernel Estimates of Multivariate Densities
- On Locally Adaptive Density Estimation
- The quickhull algorithm for convex hulls
- Detecting the Presence of Mixing with Multiscale Maximum Likelihood
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- Bandwidth selectors for multivariate kernel density estimation
- Plug-in bandwidth matrices for bivariate kernel density estimation
- Data‐driven choice of the smoothing parametrization for kernel density estimators
- The Support Reduction Algorithm for Computing Non‐Parametric Function Estimates in Mixture Models
- Computing maximum likelihood estimators of a log-concave density function
- On Estimation of a Probability Density Function and Mode
- Maximum penalized likelihood estimation. Vol. 1: Density estimation