Automatic choice of driving values in Monte Carlo likelihood approximation via posterior simulations

Automatic choice of driving values in Monte Carlo likelihood approximation via posterior simulations

10.1023/A:1023248207299

Saved in:

書目詳細資料
主要作者:	Kuk, A.Y.C.
其他作者:	STATISTICS & APPLIED PROBABILITY
格式:	Article
出版:	2014
主題:	Bayesian computation Data duplication Generalized linear mixed models Markov chain Monte Carlo Missing data Prior sharpening Random effects
在線閱讀:	http://scholarbank.nus.edu.sg/handle/10635/105034
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	National University of Singapore

相似書籍

An adaptive sequential Monte Carlo method for approximate Bayesian computation
由: Del Moral, P., et al.
出版: (2016)

HAMILTONIAN MONTE CARLO VARIANTS
由: AU KHAI XIANG
出版: (2023)

Monte Carlo approximation through Gibbs output in generalized linear mixed models
由: Chan, J.S.K., et al.
出版: (2014)

Variable selection and model averaging in semiparametric overdispersed generalized linear models
由: Cottet, R., et al.
出版: (2014)

Inference in epidemic models without likelihoods
由: McKinley, T., et al.
出版: (2014)

Logistic mixtures vs. Markov chain Monte Carlo
由: De Leon, Karmello Juan C., et al.
出版: (2008)

On adaptive resampling strategies for sequential Monte Carlo methods
由: Del Moral, P., et al.
出版: (2016)

Monte Carlo and Quasi-Monte Carlo methods 2006
出版: (2017)

Approximate Bayesian Computation for Smoothing
由: Martin, J.S., et al.
出版: (2016)

Parameter estimation for hidden markov models with intractable likelihoods
由: Dean, T.A., et al.
出版: (2016)

Gradient Free Parameter Estimation for Hidden Markov Models with Intractable Likelihoods
由: Ehrlich, E., et al.
出版: (2016)

Monte Carlo sampling from the quantum state space. II
由: Seah, Y.-L, et al.
出版: (2020)

Supply chain performance measurement system: A Monte Carlo DEA-based approach
由: Wong, W.P., et al.
出版: (2014)

Applications on Monte Carlo simulation to some actuarial problem
由: Lopez, Ma. Regina F., et al.
出版: (1983)

Some current issues in quasi-Monte Carlo methods
由: Niederreiter, H.
出版: (2014)

DATA ANALYTICS IN COMPLEX DATA ENVIRONMENTS: METHODS TOWARDS MISSING VALUES AND DYNAMIC DATA PATTERNS
由: PENG JIAXU
出版: (2020)

Efficient MCMC schemes for computationally expensive posterior distributions
由: Fielding, M., et al.
出版: (2014)

Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference
由: LI, Zhize, et al.
出版: (2019)

Dynamically weighted importance sampling in Monte Carlo computation
由: Liang, F.
出版: (2014)

Automatic Bayesian model averaging for linear regression and applications in Bayesian curve fitting
由: Liang, F., et al.
出版: (2014)

Real-Parameter Evolutionary Monte Carlo with Applications to Bayesian Mixture Models
由: Liang, F., et al.
出版: (2014)

An investigation into an alternative transition criterion of the Transitional Markov Chain Monte Carlo method for Bayesian model updating
由: Lye, Adolphus, et al.
出版: (2023)

Monte Carlo simulation of light propagation in stratified water
由: DEWKURUN NARVADA
出版: (2010)

Improved marginal likelihood estimation via power posteriors and importance sampling
由: LI, Yong, et al.
出版: (2019)

Improved marginal likelihood estimation via power posteriors and importance sampling
由: LI, Yong, et al.
出版: (2023)

MULTILEVEL MONTE CARLO METHODS IN FINANCE.
由: GREGORY ANG TAI XIANG
出版: (2018)

Transition matrix Monte Carlo
由: Swendsen, R.H., et al.
出版: (2014)

Monte Carlo simulation of surface segregation in nanoparticles
由: Jayaganthan, R., et al.
出版: (2014)

Computational methods for a class of network models
由: Wang, J., et al.
出版: (2016)

Bayesian parameter inference for partially observed stopped processes
由: Jasra, A., et al.
出版: (2016)

Raman Monte Carlo Simulation for light propagation for tissue with embedded objects
由: Periyasamy, Vijitha, et al.
出版: (2018)

Robust bayesian estimation of kinetics for the polymorphic transformation of L-glutamic acid crystals
由: Hermanto, M.W., et al.
出版: (2014)

Efficient sampling schemes for Bayesian MARS models with many predictors
由: Nott, D.J., et al.
出版: (2014)

SEQUENTIAL MONTE CARLO ALGORITHMS FOR HIGH-DIMENSIONAL FILTERING AND SMOOTHING
由: XU YAXIAN
出版: (2018)

A modified Monte Carlo em algorithm for a three-parameter distribution
由: Ye, Z., et al.
出版: (2014)

FLUCTUATION RELATIONS USING BAYESIAN RETRODICTION: LINKS WITH OTHER FLUCTUATION RELATIONS AND THE CHOICE OF REFERENCE PRIOR IN DIFFERENT CONTEXTS
由: JULIEN, CHRISTIAN, DENIS PRODHON
出版: (2023)

Relative efficiency of the Fuzzy p-value approach to hypothesis testing
由: Kuk, A.Y.C., et al.
出版: (2014)

On Computational Techniques for Bayesian Empirical Likelihood and Empirical Likelihood Based Bayesian Model Selection
由: YIN TENG
出版: (2014)

The structural evaluation of lithium chloride in liquid hydroxylamine by monte carlo simulation
由: Pornthep Sompornpisut
出版: (2013)

Irreversible Markov chain Monte Carlo algorithm for self-avoiding walk
由: Hu, Hao, et al.
出版: (2017)