Provides a one-semester course in probability and statistics with applications in the engineering sciences. Probability of events, discrete and continuous random variables cumulative distribution, ...

In most applications, regression models are merely useful approximations. Reality is often so complicated that you cannot know what the true model is. You may have to choose a model more on the basis ...

Eugene Katsevich, Aaditya Ramdas, SIMULTANEOUS HIGH-PROBABILITY BOUNDS ON THE FALSE DISCOVERY PROPORTION IN STRUCTURED, REGRESSION AND ONLINE SETTINGS, The Annals of Statistics, Vol. 48, No. 6 ...

Catalog : MATH.5910 Linear Statistics Modeling and Regression (Formerly 92.591) Id: 008463 Credits Min: 3 Credits Max: 3 Description Model building via linear regression models. Method of least ...

This is a preview. Log in through your library . Abstract Suppose that inference about parameters of interest is to be based on an unbiased estimating function that is U-statistic of degree 1 or 2. We ...

Office Hours: MWF 9:00-9:50 A.M., T 1:30-2:20 P.M., or by appointment Prerequisites: Math 9 or three years of high school mathematics including two years of algebra and one year of geometry; a passing ...

The Department of Mathematics and Statistics at Saint Louis University offers undergraduate options in pure mathematics, applied mathematics and statistics, as well as graduate degrees in mathematics.

In this paper, we propose a functional linear regression model in the space of probability density functions. We treat a cross-sectional distribution of individual earnings as an infinite dimensional ...

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...