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Refinado por: Base de dados/Biblioteca: Wiley-Blackwell Full Collection 2013 remover
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1
Bayesian estimation and comparison of conditional moment models
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Bayesian estimation and comparison of conditional moment models

Chib, Siddhartha ; Shin, Minchul ; Simoni, Anna

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022-07, Vol.84 (3), p.740-764 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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2
The correlated pseudomarginal method
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The correlated pseudomarginal method

Deligiannidis, George ; Doucet, Arnaud

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2018-11, Vol.80 (5), p.839-870 [Periódico revisado por pares]

Oxford: Wiley

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3
Bayesian inference for risk minimization via exponentially tilted empirical likelihood
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Bayesian inference for risk minimization via exponentially tilted empirical likelihood

Tang, Rong ; Yang, Yun

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022-09, Vol.84 (4), p.1257-1286 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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4
Asymptotic behaviour of the posterior distribution in overfitted mixture models
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Asymptotic behaviour of the posterior distribution in overfitted mixture models

Rousseau, Judith ; Mengersen, Kerrie

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2011-11, Vol.73 (5), p.689-710 [Periódico revisado por pares]

Oxford, UK: Blackwell Publishing Ltd

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5
Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood
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Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood

Yang, Yunwen ; Wang, Huixia Judy ; He, Xuming

International statistical review, 2016-12, Vol.84 (3), p.327-344 [Periódico revisado por pares]

Hoboken: Blackwell Publishing Ltd

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6
Uncertainty quantification and identification of SST turbulence model parameters based on Bayesian optimization algorithm in supersonic flow
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Uncertainty quantification and identification of SST turbulence model parameters based on Bayesian optimization algorithm in supersonic flow

Yang, Maotao ; Guo, Mingming ; Zhang, Yi ; Tian, Ye ; Yi, Miaorong ; Le, Jialing ; Zhang, Hua

International journal for numerical methods in fluids, 2024-03, Vol.96 (3), p.277-296 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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7
Avoiding zero between-study variance estimates in random-effects meta-analysis
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Avoiding zero between-study variance estimates in random-effects meta-analysis

Chung, Yeojin ; Rabe-Hesketh, Sophia ; Choi, In-Hee

Statistics in medicine, 2013-10, Vol.32 (23), p.4071-4089 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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8
Reliability estimation of a multicomponent stress‐strength model for unit Gompertz distribution under progressive Type II censoring
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Reliability estimation of a multicomponent stress‐strength model for unit Gompertz distribution under progressive Type II censoring

Jha, Mayank Kumar ; Dey, Sanku ; Alotaibi, Refah Mohammed ; Tripathi, Yogesh Mani

Quality and reliability engineering international, 2020-04, Vol.36 (3), p.965-987 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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9
Alcohol and Parasomnias: The Statistical Evaluation of the Parasomnia Defense in Sexual Assault, Where Alcohol is Involved
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Alcohol and Parasomnias: The Statistical Evaluation of the Parasomnia Defense in Sexual Assault, Where Alcohol is Involved

Munro, Neil A.

Journal of forensic sciences, 2020-07, Vol.65 (4), p.1235-1241 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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10
Bayesian non-parametric inference for species variety with a two-parameter Poisson-Dirichlet process prior
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Bayesian non-parametric inference for species variety with a two-parameter Poisson-Dirichlet process prior

Favaro, Stefano ; Lijoi, Antonio ; Mena, Ramsés H. ; Prünster, Igor

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2009-11, Vol.71 (5), p.993-1008 [Periódico revisado por pares]

Oxford, UK: Oxford, UK : Blackwell Publishing Ltd

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