منابع مشابه
On a Property of Probability Matching Priors: Matching the Alternative Coverage Probabilities
In frequentist inference based on conndence sets, both the true coverage and the probability for a conndence set to include an alternative value of the parameter of interest are important. Thus if probability matching priors also match such alternative coverage probabilities there is perhaps a stronger justiication for calling them noninformative. Considering contiguous alternatives, we obtain ...
متن کاملEdge Detection with Hessian Matrix Property Based on Wavelet Transform
In this paper, we present an edge detection method based on wavelet transform and Hessian matrix of image at each pixel. Many methods which based on wavelet transform, use wavelet transform to approximate the gradient of image and detect edges by searching the modulus maximum of gradient vectors. In our scheme, we use wavelet transform to approximate Hessian matrix of image at each pixel, too. ...
متن کاملOn the property of for a second-order system with zero diagonal coefficient
Abstract: This paper investigates the problem of whether all trajectories of the system and cross the vertical isocline, which is very important for the existence of periodic solutions and oscillation theory. Sufficient conditions are given for all trajectories to cross the vertical isocline.
متن کاملBayesian Clustering with Priors on Partitions
Traditional clustering algorithms are deterministic in the sense that a given dataset always leads to the same output partition. This paper modifies traditional clustering algorithms whereby data is associated with a probability model, and clustering is carried out on the stochastic model parameters rather than the data. This is done in a principled way using a Bayesian approach which allows th...
متن کاملOn Bayesian classification with Laplace priors
We present a new classification approach, using a variational Bayesian estimation of probit regression with Laplace priors. Laplace priors have been previously used extensively as a sparsity inducing mechanism to perform feature selection simultaneously with classification or regression. However, contrarily to the ’myth’ of sparse Bayesian learning with Laplace priors, we find that the sparsity...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2004
ISSN: 0162-1459,1537-274X
DOI: 10.1198/016214504000000386