is there any research into or applications of machine learning in number theory? am also looking for (leading examples of) statistical/empirical analysis of number theory questions. also ...
Suppose that I have two models, A and B (A nested in B), which are tailored to explain data from a single participant in an experiment. Example: I am modeling response times in a single participant. ...
Imagine such a memory test for a mice. The mice performs an experiment $E$ with two possible issues $0$ (failure) and $1$ (success). If the mice gets $1$ it is "rewarded", if it gets $0$ it is ...
I'm looking for reference to get a better understanding and overview of the methods for data modeling (mostly related to business questions like finding categories in data and setting of scoring ...
I am looking for online resources or books explaining how to develop prognostic indexes-scores step by step. I am mainly wondering about model validation and transformation of regression coefficients ...
This is largely a literature request. I have some data consisting of, for each use of a credit card, the card owner, the store, and the time of the use. This could be viewed as a collection of ...
I am asked by colleagues some help in this subject, that I don’t really know. They made hypotheses on the role of some latent variables in one study, and a referee asked them to formalize this in SEM. ...
Formulating a mathematical model for a problem is the one of the most subjective aspects of statistics, but also one of the most important. What are the best references dealing with this crucial but ...
I work in the field of data mining and have had very little formal schooling in statistics. Lately I have been reading a lot of work that focuses on Bayesian paradigms for learning and mining, which ...