搜索结果: 1-13 共查到“Bayesian Estimation”相关记录13条 . 查询时间(0.093 秒)
MICROPHONE ARRAY SPEECH ENHANCEMENT BY BAYESIAN ESTIMATION OF SPECTRAL AMPLITUDE AND PHASE
MICROPHONE ARRAY SPEECH ENHANCEMENT BAYESIAN ESTIMATION SPECTRAL AMPLITUDE AND PHASE
2015/9/29
Microphone arrays provide new opportunities for noise reduction and speech enhancement. This paper presents anovel decomposition of the estimation problems for short-time spectral amplitude (STSA), lo...
The algorithm of Bayesian estimation of maternal genetic and permanent maternal environmental variances in a two-trait binary threshold model
binary traits genetic effects Gibbs sampling
2015/6/5
The paper presents an algorithm for the estimation and prediction of parameters in a two-trait binary threshold model. The model includes fixed effects and the following random effects: genetic direct...
PAC-Bayesian Estimation and Prediction in Sparse Additive Models
Additive models sparsity regression estimation PAC-Bayesian bounds oracle inequality MCMC stochastic search.
2012/9/17
The present paper is about estimation and prediction in high-dimensional additive models under a sparsity assumption (p nparadigm).A PAC-Bayesian strategy is investigated, delivering oracle inequaliti...
Bayesian and Non-Bayesian Estimation of the Inverse Weibull Model Based on Generalized Order Statistics
Inverse Weibull Distribution Generalized Order Statistics Record Values Progressive Type-II Censored Balanced Type Loss Function Bootstrap Estimation
2013/1/28
The concept of generalized order statistics has been introduced as a unified approach to a variety of models of ordered random variables with different interpretations. In this paper, we develop metho...
Bayesian estimation of GARCH model with an adaptive proposal density
Bayesian estimation GARCH model adaptive proposal density
2011/1/4
A Bayesian estimation of a GARCH model is performed for US Dollar/Japanese Yen exchange rate by the Metropolis-Hastings algorithm with a proposal density given by the adaptive construction scheme. In ...
Bayesian estimation for the Pareto parameters using quasi-likelihood function
Linear Model Bayesian Method of Estimation Quasi-Likelihood
2010/9/10
In this paper, Bayesian estimation for the Pareto distribution, this thesis aims to investigate the possibility of using the quasi-likelihood function in the Bayesian approach. We introduce a new meth...
A non-linear and stochastic response surface method for Bayesian estimation of uncertainty in soil moisture simulation from a land surface model
response surface method Bayesian estimation soil moisture simulation land surface model
2009/11/11
This study presents a simple and efficient scheme for Bayesian estimation of uncertainty in soil moisture simulation by a Land Surface Model (LSM). The scheme is assessed within a Monte Carlo (MC) sim...
PDS-Modelling and Regional Bayesian Estimation of Extreme Rainfalls
PDS-Modelling Regional Bayesian Estimation Extreme Rainfalls
2009/10/26
Since 1979 a country-wide system of raingauges has been operated in Denmark
in order to obtain a better basis for design and analysis of urban drainage
systems. As an alternative to the traditional ...
Bayesian estimation of the basic reproduction number in stochastic epidemic models
Basic reproduction number Bayesian inference Epidemics Linear programming Stochastic epidemic models
2009/9/22
Our main focus is on the basic reproduction number, a quantity
of central importance in mathematical epidemic theory, whose value essentially
dictates whether or not a large epidemic outbreak can oc...
Bayesian estimation of parameters in a regional hydrological model
regional hydrological model model uncertainty
2009/3/17
This study evaluates the applicability of the distributed, process-oriented Ecomag model for prediction of daily streamflow in ungauged basins.
Bayesian Estimation of Soft-Core Potential Models for Spatial Point Patterns
Bayesian estimation L-statistics MCMC methods repulsive interaction Soft-Core models
2009/3/6
For a spatial pattern of points interacting with a repulsive potential in a given finite region of the plane, Bayesian estimation of parametric interaction potential functions between individuals (the...
We address phase-shift estimation by means of squeezed vacuum probe and homodyne detection. We analyze Bayesian estimator, which is known to asymptotically saturate the classical Cramer-Rao bound to t...
Inferring Markov Chains：Bayesian Estimation，Model Comparison，Entropy Rate，and Out-of-class Modeling
Markov Chains Bayesian Estimation Model Comparison Entropy Rate Out-of-class Modeling
2010/4/27
Markov chains are a natural and well understood tool for describing one-dimensional patterns in
time or space. We show how to infer k-th order Markov chains, for arbitrary k, from finite data
by app...