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搜索结果: 1-13 共查到Bayesian estimation相关记录13条 . 查询时间(0.421 秒)
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 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...
The present paper is about estimation and prediction in high-dimensional additive models under a sparsity assumption (pnparadigm).A PAC-Bayesian strategy is investigated, delivering oracle inequaliti...
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...
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 ...
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...
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...
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 ...
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...
This study evaluates the applicability of the distributed, process-oriented Ecomag model for prediction of daily streamflow in ungauged basins.
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...
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...

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