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In experimental design, a common problem seen in practice is when the result includes one binary response and multiple continuous responses. However, this problem receives scant attention. Most studie...
Hypothesis testing on high-dimensional fixed effects is indispensable for investigating the utility of the predictors on response. In this case, the conventional frequentist methods designed for cases...
In recent years there has been an explosion of complex data-sets in areas as diverse as Bioinformatics, Ecology, Epidemiology, Finance, subsurface Geophysics, Meteorology, and Population genetics. In ...
The 2nd International Society for Bayesian Analysis – East Asia Chapter (ISBA-EAC) Conference will take place on July 6 – 7, 2017. The Conference is organized by the ISBA-EAC and School of Mathematics...
Microphone arrays provide new opportunities for noise reduction and speech enhancement. This paper presents anovel decomposition of the estimation problems for short-time spectral amplitude (STSA), lo...
We propose a Bayesian single channel speech enhancement algorithm to exploit speech sparseness in the independent component analysis (ICA) domain. While recent literature considers the idea of denoisi...
The 250-year debate between Bayesians and frequentists is unusual among philsophical arguments in actually having important practical consequences. Whenever noisy data is a major concern, scientists ...
In the absence of relevant prior experience, popular Bayesian estimation techniques usually begin with some form of \uninformative" prior distribution intended to have minimal inferential in uence....
Bayesian Inference and the Parametric Bootstrap。
A BAYESIAN PEEK INTO FELLER VOLUME I。
Bayesian analysis for reversible Markov chains。
This paper introduces and investigates the validity of Bayesian estimating equation derived from the Hilbert space method. A validity for Hilbertbased Bayesian estimating function is established via t...

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