Výsledky vyhledávání - "Shen, Junshan"

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On MCMC mixing under unidentified nonparametric models with an application to survival predictions under transformation models

Autor: Zhong, Chong, Yang, Jin, Shen, Junshan, Liu, Catherine C., Li, Zhaohai

The multi-modal posterior under unidentified nonparametric models yields poor mixing of Markov Chain Monte Carlo (MCMC), which is a stumbling block to Bayesian predictions. In this article, we conceptualize a prior informativeness threshold that is e

Externí odkaz: http://arxiv.org/abs/2411.01382

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Bayesian prediction via nonparametric transformation models

Autor: Zhong, Chong, Yang, Jin, Shen, Junshan, Liu, Catherine, Li, Zhaohai

This article tackles the old problem of prediction via a nonparametric transformation model (NTM) in a new Bayesian way. Estimation of NTMs is known challenging due to model unidentifiability though appealing because of its robust prediction capabili

Externí odkaz: http://arxiv.org/abs/2205.14504

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Dependent Dirichlet Processes for Analysis of a Generalized Shared Frailty Model

Autor: Zhong, Chong, Ma, Zhihua, Shen, Junshan, Liu, Catherine

Bayesian paradigm takes advantage of well fitting complicated survival models and feasible computing in survival analysis owing to the superiority in tackling the complex censoring scheme, compared with the frequentist paradigm. In this chapter, we a

Externí odkaz: http://arxiv.org/abs/2109.03713

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Empirical Likelihood for Right Censored Lifetime Data

Autor: He, Shuyuan, Liang, Wei, Shen, Junshan, Yang, Grace

This paper considers the empirical likelihood (EL) construction of confidence intervals for a linear functional based on right censored lifetime data. Many of the results in literature show that log EL has a limiting scaled chi-square distribution, w

Externí odkaz: http://arxiv.org/abs/1203.5955

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