Bayesian Estimation
Bayesian estimation of the reliability characteristic of Shanker distribution
... consider Bayesian estimation for univariate ...the Bayesian estimation for parameters and reliability characteristics of the Weibull Rayleigh ...
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Bayesian Estimation of Dynamic Discrete Choice Models
... the Bayesian methods of estimation, suitably mod- ified, can be used effectively to conduct full-solution-based estimation of struc- tural DDC ...of Bayesian methods to estimate such models ...
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Bayesian and Non Bayesian Estimation of the Inverse Weibull Model Based on Generalized Order Statistics
... (5) where estimating of parameter , a prior target estimator of , 0,1 , , being as arbitrary loss function in estimating by and q suit- able positive weight function. ...
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Bayesian estimation of agent based models
... make Bayesian estimation simpler: (i) they produce analytical ex- pressions for the behaviour of the agents around the steady state, and (ii) they involve only a limited number of different agents, hence ...
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Efficient Bayesian estimation and combination of GARCH type models
... We apply our Bayesian estimation methods to daily observations of the S&P500 index log-returns. The sample period is from April 28, 1995, to October 27, 1997, for a total of 633 observations. The reason ...
23
The effect of non tightness on Bayesian estimation of PCFGs
... (ML) estimation, and showed that ML esti- mates are always tight for both the supervised case (where the input consists of parse trees) and the un- supervised case (where the input consists of yields or terminal ...
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Bayesian Estimation of a DSGE Model with Inventories
... We find that accounting for inventories has a significant impact on business cycle prop- erties. Our results are threefold. First, the paper presents an estimated DSGE model with inventories and numerous shocks deemed ...
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Bayesian estimation of a DSGE model for the Portuguese economy
... In this paper, a New-Keynesian DSGE model for a small open economy integrated in a monetary union is developed and estimated for the Portuguese economy, using a Bayesian approach. Estimates for some key structural ...
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A Bayesian Estimation of DSGE Model for the Nigerian Economy
... the estimation of DSGE model has focused on the developed ...the Bayesian estimation, the findings indicate that there is a high degree of price and wage stickiness in the Euro ...
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Bayesian Estimation For Tracking Of Spiraling Reentry Vehicles
... observed. Bayesian inference is the process of adjusting a probabilistic model to a set of data and summarizing the results through a probability density function (pdf) with the model parameters and the quantities ...
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Robust Bayesian estimation for context-based speech enhancement
... memory-based estimation, considers the use of multiple CD models, and presents a detailed experimental analysis for different noise types, input SNRs, and aspects of ...
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Bayesian estimation of parameters in a regional hydrological model
... the Bayesian method (Kuzcera, 1983), which is applied in this ...The Bayesian method estimates a probability density for the model parameters conditioned on ...
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Bayesian Estimation and Uncertainty Quantification in Differential Equation Models.
... M¨ uller and Timmer (2002) used the multiple shooting approach for PDE models. A two step approach similar to Varah (1982) using splines was applied by M¨ uller and Timmer (2004) to estimate the parameters. Xun et al. ...
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Identifying mixtures of mixtures using Bayesian estimation
... Statistical inference for finite mixtures is generally not easy due to problems such as label switching, spurious modes and unboundedness of the mixture likelihood (see e.g. Fr¨uhwirth- Schnatter, 2006, Chapter 2), but ...
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Bayesian Estimation of DSGE Models
... for Bayesian economet- ...(i.e., Bayesian posterior distribution cannot be viewed as frequen- tist confidence sets), they advocate inverting the Bayes factor to construct confidence intervals with good small ...
30
Dimensionality reduction in Bayesian estimation algorithms
... when Bayesian retrievals are directly based on the radi- ance observations of, say, a nine-channel instrument like the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI; Kummerow et ...
10
Bayesian Estimation of Genomic Distance
... We present a Bayesian approach to the problem of inferring the number of inversions and translocations separating two species. The main reason for developing this method is that it will allow us to test hypotheses ...
10
The causal manipulation and Bayesian estimation of chain event graphs
... Discrete Bayesian Networks (BNs) have been very successful as a framework both for inference and for expressing certain causal hy- potheses. In this paper we present a class of graphical models called the chain ...
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Parameter estimation via conditional expectation: a Bayesian inversion
... of Bayesian estimation can be extremely demanding, see [19] for an account of the history of Bayesian theory, and the break-throughs required in computational procedures to make Bayesian ...
21
A Bayesian Method for Robust Estimation of Distributional Similarities
... The Bayesian estimation and the expectation calculation in Eq. 2 are generally difficult and usually require computationally expensive proce- dures. Since our motivation for this research is to calculate ...
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