Pages that link to "Item:Q2407784"
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The following pages link to Bayesian mixture modeling for spectral density estimation (Q2407784):
Displaying 16 items.
- Spectral likelihood expansions for Bayesian inference (Q729504) (← links)
- Bayesian multiscale feature detection of log-spectral densities (Q961849) (← 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)
- 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)
- Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs (Q2302513) (← links)
- Bayesian nonparametric spectral density estimation using B-spline priors (Q2329750) (← links)
- Bayesian spectral density estimation using P-splines with quantile-based knot placement (Q2667015) (← links)
- A method of spectral mixture analysis based on the Gaussian Markov random field model (Q2886197) (← links)
- The Spectral Method for General Mixture Models (Q3631905) (← links)
- Bayesian Spectral Modeling for Multiple Time Series (Q5208088) (← links)
- Adaptive Bayesian Time–Frequency Analysis of Multivariate Time Series (Q5229927) (← links)
- Regularized estimation of mixed spectra using a circular Gibbs-Markov model (Q5353556) (← links)
- Posterior consistency for the spectral density of non‐Gaussian stationary time series (Q6049786) (← links)
- A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series (Q6626672) (← links)
