All of statistics and much of science depends on probability—an astonishing achievement, considering no one’s really sure ...

This course provides a solid basis for further study in statistics and data analysis or in pattern recognition and operations research. It is especially appropriate for students with an undergraduate ...

Research of the probability and statistics group includes particle systems, theoretical statistics, non-conventional random walks, random matrix theory, and random polynomials. Research interests also ...

Covers algorithms of cleaning and munging data, probability theory and common distributions, statistical simulation, drawing inferences from data, and basic statistical modeling.

Numerical probability is used for both these situations. There is another lesson in here. Even if there is a statistical model for what should happen, this is always based on subjective ...

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models ...

A percent chance of precipitation shows the probability there will be at least 0.01 inch of rain, snow or sleet at a given location.

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, ...

NFL Network's Cynthia Frelud shares what her mathematical model projects when it comes to the rookie-year statistics for ... projects the final scores, win probability, and cover probability ...

We built a statistical model that calculates the odds of a Black ... Also, as many parties are keen to have more diversity we assume a high probability that you will be pushed forward if you ...