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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...
Correcting the systematic bias and quantifying uncertainty associated with the operational water quality forecasts are imperative works for risk-based environmental decision making.
This study estimated the genetic parameters for reproductive and performance traits and determined which ones can be used as selection criteria for egg production in laying hens using the Bayesian inf...
2018年2月,中国地质大学地球科学学院和生物地质与环境地质国家重点实验室何卫红教授团队,联合日本学者铃木纪毅博士,在国际地学领域著名期刊《Earth-Science Reviews》上在线发表题为“Low-latitudinal standard Permian radiolarian biostratigraphy for multiple purposes with Unitary Asso...
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 ...
Seismic inversion performed in the time or frequency domain cannot always recover the long-wavelength background of subsurface parameters due to the lack of low-frequency seismic records. Since the lo...
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...
Intensity attenuation and its variation as a function of the distance and earthquake size is still a critical issue in evaluating seismic hazard. We present a method that allows us to incorporate addi...
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。
In this paper an improved speckle noise reduction method is presented based on wavelet transform. A 2D Gaussian function is found to be the best model fitted to the speckle noise pattern cross-secti...

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