Statistical and Machine-Learning Analyses in Nutritional Genomics Studies

Statistical and Machine Learning

• Course plan: See Table of Contents (tentative). We will emphasize on knowing " why " and on statistical aspects instead of algorithms and programming. But still you have to know " how " by either writing your own implementation or modifying from others' code. • Grading policy: homework 30%, score for late homework= (full points) × 0.8 d , d : delay days. oral presentation 20% on assigned task...

Statistical analysis of nutritional studies.

Statistical analysis of data collected in experimental or observational studies is an important part of nutritional research. If it is not done appropriately, there is a risk that information in the data is lost, or that conclusions are misleading. The present article does not attempt a full review of the subject of statistics, but attempts to list aspects where care is needed.

Machine Learning in Statistical Arbitrage

We apply machine learning methods to obtain an index arbitrage strategy. In particular, we employ linear regression and support vector regression (SVR) onto the prices of an exchange-traded fund and a stream of stocks. By using principal component analysis (PCA) in reducing the dimension of feature space, we observe the benefit and note the issues in application of SVR. To generate trading sign...

Challenges in Statistical Machine Learning

Statistical Machine Learning