It is well known that standard frequentist inference breaks down in IV regressions with weak instruments. Bayesian inference with diffuse priors suffers from the same problem. We show that the issue ...

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 ...

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 ...

Animals have to act despite limited sensory information because of factors such as interfering background noise or occluded vision. Thus, the ability to estimate the current state of the outside world ...

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 ...