Normalized power priors always discount historical data

Normalized Power Prior Bayesian Analysis Normalized Power Prior Bayesian Analysis

Bayesian Models of Data Streams with Hierarchical Power Priors

Making inferences from data streams is a pervasive problem in many modern data analysis applications. But it requires to address the problem of continuous model updating, and adapt to changes or drifts in the underlying data generating distribution. In this paper, we approach these problems from a Bayesian perspective covering general conjugate exponential models. Our proposal makes use of non-...

Do not discount power of prayer.

I am writing to express my concern over a statement made in your editorial in the October issue of the Journal. I disagree with the categorical statement that “hand wringing, prayer, and expressions of concern don’t work.” In my opinion, any statement that one’s personal efforts in advocacy are more effective that another’s prayers indicates either a considerable degree of arrogance or a disbel...

pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)

فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...

Data Fusion with Entropic Priors

In classification problems, lack of knowledge of the prior distribution may make the application of Bayes’ rule inadequate. Uniform or arbitrary priors may often provide classification answers that, even in simple examples, may end up contradicting our common sense about the problem. Entropic priors, via application of the maximum entropy principle, seem to provide a much better answer and can ...