Pages that link to "Item:Q1813322"
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The following pages link to Fourier methods for estimating mixing densities and distributions (Q1813322):
Displaying 50 items.
- Nonparametric estimation of the mixing density using polynomials (Q258036) (← links)
- Posterior contraction rates for deconvolution of Dirichlet-Laplace mixtures (Q259196) (← links)
- Statistical inference for time-changed Lévy processes via Mellin transform approach (Q271884) (← links)
- Borrowing strengh in hierarchical Bayes: posterior concentration of the Dirichlet base measure (Q282547) (← links)
- Uniform distribution width estimation from data observed with Laplace additive error (Q334827) (← links)
- Minimax estimation for mixtures of Wishart distributions (Q450011) (← links)
- Hypothesis testing by convex optimization (Q491378) (← links)
- Extreme deconvolution: inferring complete distribution functions from noisy, heterogeneous and incomplete observations (Q641112) (← links)
- On deconvolution of distribution functions (Q661165) (← links)
- Strong consistency and rates for deconvolution of multivariate densities of stationary processes (Q689165) (← links)
- Density deconvolution in the circular structural model (Q697464) (← links)
- On optimal uniform deconvolution (Q715783) (← links)
- Deconvolution with unknown error distribution (Q834341) (← links)
- Consistency of a recursive estimate of mixing distributions (Q834348) (← links)
- Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing (Q847630) (← links)
- Density testing in a contaminated sample (Q860334) (← links)
- Optimal bandwidth selection for multivariate kernel deconvolution density estimation (Q946214) (← links)
- Estimation of distributions, moments and quantiles in deconvolution problems (Q955132) (← links)
- Global rate results for the MLE in a class of deconvolution models (Q1004272) (← links)
- Deconvolution boundary kernel method in nonparametric density estimation (Q1015874) (← links)
- A note on deconvolution density estimation (Q1126133) (← links)
- Theoretical aspects of ill-posed problems in statistics (Q1181248) (← links)
- Multivariate regression estimation with errors-in-variables: Asymptotic normality for mixing processes (Q1206452) (← links)
- Kernel and pseudokernel estimators for the a priori density of a multivariate parameter (Q1269938) (← links)
- Density estimation in the presence of noise (Q1304096) (← links)
- On lower bounds for errors of prior density estimators (Q1355318) (← links)
- Bayes and empirical Bayes estimation with errors in variables (Q1380560) (← links)
- Compound decision theory and empirical Bayes methods (Q1429309) (← links)
- Adaptive wavelet estimator for nonparametric density deconvolution (Q1583899) (← links)
- Deconvolving multidimensional density from partially contaminated observations (Q1600747) (← links)
- A unified treatment of direct and indirect estimation of a probability density and its derivatives (Q1612997) (← links)
- Density deconvolution based on wavelets with bounded supports (Q1612999) (← links)
- A deconvolution path for mixtures (Q1639196) (← links)
- Convergence of an iterative algorithm to the nonparametric MLE of a mixing distribution (Q1644199) (← links)
- Self-consistent density estimation in the presence of errors-in-variables (Q1725384) (← links)
- General empirical Bayes wavelet methods and exactly adaptive minimax estimation (Q1781152) (← links)
- Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model (Q1781190) (← links)
- Deconvolution density estimation on \(\text{SO}(N)\) (Q1807101) (← links)
- Asymptotic behaviour of the predictive density in the exchangeable case (Q1817376) (← links)
- Empirical geometry of multivariate data: a deconvolution approach. (Q1848790) (← links)
- Semi-parametric estimation in the nonlinear structural errors-in-variables model (Q1848855) (← links)
- A review of semiparametric mixture models (Q1901751) (← links)
- On estimating mixing densities in discrete exponential family models (Q1906193) (← links)
- Deconvolving a density from contaminated dependent observations (Q1915249) (← links)
- A note on the inverse estimation of band-limited signals (Q1916199) (← links)
- An empirical Bayes approach to directional data and efficient computation on the sphere (Q1922405) (← links)
- Asymptotic minimax rates for abstract linear estimators (Q1923430) (← links)
- Convergence of latent mixing measures in finite and infinite mixture models (Q1952455) (← links)
- Consistent estimates of the mode of the probability density function in nonparametric deconvolution problems (Q1974073) (← links)
- On posterior contraction of parameters and interpretability in Bayesian mixture modeling (Q1983595) (← links)
