Pages that link to "Item:Q4651032"
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The following pages link to Bayesian Estimation of the Spectral Density of a Time Series (Q4651032):
Displaying 50 items.
- Stochastic expansions using continuous dictionaries: Lévy adaptive regression kernels (Q98918) (← links)
- Nonparametric regression models for right-censored data using Bernstein polynomials (Q425652) (← links)
- On the boundary properties of Bernstein polynomial estimators of density and distribution functions (Q449356) (← links)
- A note on generalized Bernstein polynomial density estimators (Q537474) (← links)
- Bayesian non-parametric signal extraction for Gaussian time series (Q736535) (← links)
- Nonparametric Bayesian inference for the spectral density based on irregularly spaced data (Q830624) (← links)
- Posterior consistency of Gaussian process prior for nonparametric binary regression (Q869978) (← links)
- On adaptive posterior concentration rates (Q888511) (← links)
- Asymptotic properties of posterior distributions in nonparametric regression with non-Gaussian errors (Q904050) (← links)
- Bayesian multiscale feature detection of log-spectral densities (Q961849) (← links)
- Random field priors for spectral density functions (Q997305) (← links)
- Convergence rates of posterior distributions for non iid observations (Q997377) (← links)
- Estimation of spectral density of a stationary time series via an asymptotic of the periodogram (Q1298961) (← links)
- Bayesian temporal density estimation with autoregressive species sampling models (Q1657858) (← links)
- A Bayesian hierarchical model for estimating and partitioning Bernstein polynomial density functions (Q1663310) (← links)
- Bayesian copula spectral analysis for stationary time series (Q1727902) (← links)
- On estimating distribution functions using Bernstein polynomials (Q1926011) (← links)
- Dynamics of Bayesian updating with dependent data and misspecified models (Q1952015) (← links)
- Oracle posterior contraction rates under hierarchical priors (Q2044331) (← links)
- A review of uncertainty quantification for density estimation (Q2048457) (← links)
- Reconciling the Gaussian and Whittle likelihood with an application to estimation in the frequency domain (Q2054529) (← links)
- Modeling right-skewed heavy-tail right-censored survival data with application to HIV viral load (Q2089376) (← links)
- Deconvolving breath alcohol concentration from biosensor measured transdermal alcohol level under uncertainty: a Bayesian approach (Q2092109) (← links)
- Fast Bayesian inference on spectral analysis of multivariate stationary time series (Q2101377) (← links)
- Automatic estimation of spatial spectra via smoothing splines (Q2135879) (← links)
- Modelling the association in bivariate survival data by using a Bernstein copula (Q2135890) (← links)
- Consistency of Bayesian inference for multivariate max-stable distributions (Q2148985) (← links)
- Spatial regression with non-parametric modeling of Fourier coefficients (Q2151603) (← links)
- Optimally adaptive Bayesian spectral density estimation for stationary and nonstationary processes (Q2152550) (← links)
- Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels (Q2157498) (← links)
- Hypotheses testing and posterior concentration rates for semi-Markov processes (Q2243560) (← links)
- Beyond Whittle: nonparametric correction of a parametric likelihood with a focus on Bayesian time series analysis (Q2290700) (← links)
- Bayesian nonparametric analysis of multivariate time series: a matrix gamma process approach (Q2293389) (← links)
- Bayesian nonparametric spectral density estimation using B-spline priors (Q2329750) (← links)
- Posterior consistency of Dirichlet mixtures for estimating a transition density (Q2370455) (← links)
- Bayesian mixture modeling for spectral density estimation (Q2407784) (← links)
- On posterior consistency in nonparametric regression problems (Q2426740) (← links)
- Spectral decompositions of multiple time series: a Bayesian non-parametric approach (Q2443320) (← links)
- Alternative posterior consistency results in nonparametric binary regression using Gaussian process priors (Q2643290) (← links)
- Bayesian spectral density estimation using P-splines with quantile-based knot placement (Q2667015) (← links)
- A Note on Whittle's Likelihood (Q3424293) (← links)
- Bernstein polynomial estimation of a spectral density (Q3440758) (← links)
- On some aspects of the asymptotic properties of Bayesian approaches in nonparametric and semiparametric models (Q3451715) (← links)
- A bias-reduced approach to density estimation using Bernstein polynomials (Q3569214) (← links)
- Chung–Smirnov property for Bernstein estimators of distribution functions (Q3611822) (← links)
- Bayesian-like autoregressive spectrum estimation in the case of unknown process order (Q3690723) (← links)
- Bayesian autoregressive spectral analysis (Q3709717) (← links)
- (Q3763444) (← links)
- (Q4364008) (← links)
- Bayesian Variable Selection and Regularization for Time–Frequency Surface Estimation (Q4819015) (← links)
