[PDF] Top 20 Bayesian Approach for Estimating the Probability of
Has 10000 "Bayesian Approach for Estimating the Probability of" found on our website. Below are the top 20 most common "Bayesian Approach for Estimating the Probability of".
Bayesian Approach for Estimating the Probability of
... series data on the penalization cases includes the unit root as well as the constant with the model 435. including the constant and time trend[r] ... See full document
16
Risk Probability Estimating Based on Clustering
... for estimating the risk probability of a certain interaction in a given environment using hybrid neural ...risk probability, which is based on the automatic clustering of defining features of the ... See full document
5
Estimating the Demand for Health Care with Panel Data: A Semiparametric Bayesian Approach
... of estimating the demand for health care with panel ...semiparametric Bayesian fashion using a Dirichlet process ...full Bayesian analysis using Markov chain Monte Carlo (MCMC) simulation methods is ... See full document
27
Probability Approach in Estimating Value at Risk of Bond Portfolios for Effective Hedging
... In total, four bond portfolios consisting of 57 individual bonds were used: 27 were Islamic sukuk and the two Islamic bond portfolios were RHB-OSK Islamic Bond and Eastspring Invest[r] ... See full document
14
Bayes factors vs P values
... the Bayesian approach and the frequentist (i.e. p-value) approach have each their unique ...The Bayesian approach however is more realistic as it provides inferences and compares ... See full document
32
A Comparative Analysis of Generalized Estimating Equations Methods for Incomplete Longitudinal Ordinal Data with Ignorable Dropouts
... In this paper, the focus was to compare three techniques for handling incomplete ordinal outcome based on GEE under MCAR and MAR dropouts in longitudinal data. Three methodologies were used, namely: multiple imputation, ... See full document
23
A Bayesian joint probability post processor for reducing errors and quantifying uncertainty in monthly streamflow predictions
... Methods for parameterization, parameter estimation and calculation of predictive distributions differ among post- processors, although some common features can be found. Most post-processors produce probabilistic ... See full document
10
A Bayesian Approach for False Positive Reduction in CTC CAD
... Based on Eq. 4, the image intensities exhibit small (if any) change for folds, and large change for protruding objects (such as polyps). During each iteration, only at locations of protruding objects the image intensity ... See full document
7
Inferences for Burr-X Model Based on Unified Hybrid Censored Data
... the Bayesian and the E-Bayesian approaches, for estimating the unknown parameter and the reliability function of Burr-X distribution based on ...The Bayesian and E- Bayesian estimates ... See full document
7
A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems
... A plot of the errors observed on the testing-during- development data set and the fitted Gaussian error distri- butions is displayed in panel a of Fig. 11. The fitted error curves correspond to the Gaussian ... See full document
17
Large Bayesian VARMAs
... this approach could uncover addition zero restrictions in a VARMA, without losing generality, if for example the true VARMA has MA lag orders that differ from AR lag ...our Bayesian approach to ... See full document
37
AN IMPROVED MODEL FOR ESTIMATING RUNWAY ACCIDENT COST IN NIGERIA
... Historical data of Nigeria aviation sector for twelve years (2000-2011) was obtained from the Accident Investigation Bureau (AIB). Fifty nine (59) runway accidents occurred during this period and these accidents were ... See full document
12
A fully Bayesian approach to unsupervised part of speech tagging
... ferent approach based on Bayesian statistical prin- ciples: rather than searching for an optimal set of parameter values, we seek to directly maximize the probability of the hidden variables given ... See full document
8
Three essays on monetary policy analysis in Mongolia
... This paper estimates the reaction function of the Bank of Mongolia using a Bayesian approach by estimating the New Keynesian dynamic stochastic·general equilibrium DSGE model of a small [r] ... See full document
131
Inversion of Surface Deformation Data for Rapid Estimates of Source Parameters and Uncertainties: A Bayesian Approach
... After all iterations have been completed (i = I) and before working on the statistics of posterior PDFs, it is important to check that the Markov chain has converged. If a Markov chain does not converge, it does not ... See full document
18
A Bayesian Approach for False Positive Reduction in CTC CAD
... Abstract. This paper presents an automated detection method to identify colonic polyps and reduce false positives (FPs) in CT images. It formulates the problem of polyp detection as a probability calculation ... See full document
7
An econometric model to quantify benchmark downturn LGD on residential mortgages
... theoretical approach to determine the downturn LGD for residential mortgages, which is compliant with the regulatory requirement and thus suited to be used for validation, at least as it can give benchmark ... See full document
28
Causal inference with large-scale assessments in education from a Bayesian perspective: a review and synthesis
... of Bayesian model averaging in propensity score analysis in a simulation study and a case study again using data from ...approximated Bayesian model averaging approach based on the model-averaged ... See full document
24
Bayesian approach to the assessment of the population-specific risk of inhibitors in hemophilia A patients: a case study
... the Bayesian approach would certainly say that by adding “discounts” you may play with data until you show what you ...that Bayesian modeling can be used to simulate the effect by increasing the ... See full document
15
A Bayesian mixed modeling approach for estimating heritability
... The Bayesian mixed-model approach provides posterior distributions and therefore uncertainty for h 2 , the additive genetic variance, and the environmental ... See full document
6
Related subjects