Semi-Parametric Bayesian
Semi parametric Bayesian Partially Identified Models based on Support Function
... a semi-parametric Bayesian procedure for inference about partially identified ...models. Bayesian approaches are appealing in many aspects. Classical Bayesian approach in this ...
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Semi-parametric Bayesian Inference of Accelerated Life Test Using Dirichlet Process Mixture Model
... both semi-parametric and nonparametric Bayesian modelling approaches for the error distributions of median ...nonparametric Bayesian inference with ...nonparametric Bayesian modeling ...
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Asymptotic behavior of some Bayesian nonparametric and semi-parametric procedures
... the frequentist distribution of √ n( ˆ β − β) are approximately the same, where ˆ β is some suitable classical estimator of β and the cumulative hazard function is given a L´ evy process prior. This implies that the ...
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Social and demographic factors associated with morbidities in young children in Egypt: A Bayesian geo additive semi parametric multinomial model
... Covariates. We considered the following socio-demographic factors as explanatory vari- ables: child’s age, sex, body mass index (BMI), maternal age at first birth, place of residence, household size, and mother ’ s ...
11
A Parametric Bayesian Approach in Density Ratio Estimation
... the Bayesian parametric estimation with some commonly used loss functions for the ratio of p/q and to compare the proposed estimators with other estimators in the ...
12
Bayesian non parametric inference for Λ coalescents : posterior consistency and a parametric method
... well-chosen parametric families when the number of observed lineages or loci is ...of parametric families given moderately sized pilot data, for instance by ensuring that the family contains a candidate Λ ...
33
Parametric and Bayesian Modeling of Reliability and Survival Analysis
... the Bayesian estimation of the four parameters assuming non-informative priors (Tsionas, 2001), the estimation on sample percentiles reported by Slifker and Shapiro (1980) and Mage (1980), and the estimation of δ ...
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Semi-parametric models for satisfaction with income
... For specification 1, most of the estimated equivalence scales are remarkably close to each other and suggest that the cost of living for a couple are about 32% to 39% higher than the cost of living for a single person. ...
38
spa: Semi-Supervised Semi-Parametric Graph-Based Estimation in R
... of semi-supervised classi- fication with graphs, including mini-cut algorithms (Blum and Chawla 2001; Kondor and Laf- ferty 2002), directed graph algorithms (Eppstein, Patterson, and Yao 1997; Zhou, Sch¨ olkopf, ...
29
Bayesian Estimation of the Discrepancy with Misspecified Parametric Models
... a Bayesian model where we have made specific requests about the parameter values to be ...a parametric family which minimizes a distance to the data generating density and then to estimate the discrepancy ...
20
Bayesian parametric bootstrap for models with intractable likelihoods
... of parametric bootstrap and a re-weighting scheme to approximate posterior distributions and its ...nevertheless parametric bootstrap samples can provide useful approximations to the posterior in the ...
30
Social and demographic factors associated with morbidities in young children in Egypt: a Bayesian geo-additive semi-parametric multinomial model
... Covariates. We considered the following socio-demographic factors as explanatory vari- ables: child’s age, sex, body mass index (BMI), maternal age at first birth, place of residence, household size, and mother ’ s ...
10
Semi-Parametric Hedonic Models, and Empirical Comparison
... a semi-parametric model is estimated ac- counting for spatial autocorrelation by including a spatial lag or spatial error term and using a Maximum Likelihood (ML) ...the parametric properties of the ...
34
Semi-parametric bivariate polychotomous ordinal regression
... purely parametric) fashion comprise the routines of Sajaia (2008) and the mixed effects version pro- posed by Buscha and Conte (2014), both for the STATA computational environment (StataCorp, ...a ...
24
Parametric vs. Semi-parametric Estimation of the Male-Female Wage Gap: An Application to France
... Figure 5 presents the result of introducing the female distribution of occupa- tion and sector into the male wage structure, keeping other male characteristics the same. Figure 5 shows that in fact the counter-factual ...
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Semi- and non-parametric flood frequency analysis
... classical parametric or the semi-parametric ...the parametric framework, several authors have proposed so-called regional methods, for instance, the Index Flood approach from the seminal work ...
121
(Semi)Parametric Models vs Nonparametric Models
... Conditions under which an intervention might be expected to affect many aspects of a probability distribution (cont.). Example 2: Treatment of hypertension[r] ...
5
Two Stage Semi Parametric Quantile Regression
... more efficient than the OLS ( Koenker and Basset 1978) when the error distribution departs from Normality. Also, conducting a quantile regression permits researchers to obtain a more comprehensive picture of the ...
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Outliers in semi-parametric Estimation of Treatment Effects
... (ii) Classification of outliers: Semi-parametric estimators of treatment e↵ects may be very sensitive to outliers. As explained by Rousseeuw and Leroy (2005), in cross- section regression analysis, a source ...
27
Essays on semi-/non-parametric methods in econometrics
... in semi-nonparametric ...ing parametric copulas; Bierens (2008) applies it to the mixed proportional hazard model; Hu and Schennach (2008) and Chen et ...
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