Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

We propose a conditional density filtering (C-DF) algorithm for efficient online Bayesian inference. C-DF adapts MCMC sampling to the online setting, sampling from approximations to conditional ...

Achieving a 98%+ spam detection rate using a mathematical approach This white paper describes how Bayesian mathematics can be applied to the spam problem, resulting in an adaptive, ‘statistical ...

We suspect that you had more than enough mathematics in the form of Bayes Theorem last week so this week we’ll explain how it’s used in what is called Bayesian filtering to remove spam (note that the ...

One recurrent and controversial feature of high-frequency exchange rate returns is the apparent profitability of simple chartist rules. This paper attests the relevance of these rules for predicting ...

Approach developed at the Texas A&M School of Public Health offers promising new knowledge on idiopathic pulmonary fibrosis pathways Texas A&M University A new statistical technique developed by a ...