Derive the famous Bayes' rule, an essential tool for Bayesian inference.Compare Classical ("Frequentist") statistics and Bayesian statistics. Define Bayesian statistics (or Bayesian inference).This article has been written to help you understand the "philosophy" of the Bayesian approach, how it compares to the traditional/classical frequentist approach to statistics and the potential applications in both quantitative finance and data science. We have not yet discussed Bayesian methods in any great detail on the site. One of the key modern areas is that of Bayesian Statistics. In order to begin discussing the modern techniques, we must first gain a solid understanding in the underlying mathematics and statistics that underpins these models. Hence we are going to expand the topics discussed on QuantStart to include not only modern financial techniques, but also statistical learning as applied to other areas, in order to broaden your career prospects if you are quantitatively focused. Quantitative skills are now in high demand not only in the financial sector but also at consumer technology startups, as well as larger data-driven firms. It has become clear to me that many of you are interested in learning about the modern mathematical techniques that underpin not only quantitative finance and algorithmic trading, but also the newly emerging fields of data science and statistical machine learning. Over the last few years we have spent a good deal of time on QuantStart considering option price models, time series analysis and quantitative trading. Article updated April 2022 for Python 3.8
0 Comments
Leave a Reply. |