This paper addresses two closely related questions, "What is a statistical model?" and "What is a parameter?" The notions that a model must "make sense," and that a parameter must "have a well-defined ...

The Biostatistics, Bioinformatics and Epidemiology Program (BBE) supplies the statistical and mathematical modeling expertise needed within Fred Hutch’s Vaccine and Infectious Disease Division to ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

The information presented here is intended to describe the course goals for current and prospective students as well as others who are interested in our courses. It is not intended to replace the ...

Mathematical models are important tools for understanding the behavior of complex systems. For example, in order to predict the growing consequences of climate change, researchers build computational ...

Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics (AOAS) is aimed at papers in the applied half of ...

Postdoctoral or Doctoral Researcher in statistical signal processing.

For instance, the research found that for facts that appear only once in the training data, the hallucination rate of AI is at least equal to the proportion of such facts in the t ...

Do you have an inquisitive mind, a fascination with data, math acumen, attention to detail, and a knack for seeing the big picture? A BS in Mathematical Sciences from Michigan Tech—with a ...

A native of Munich, Germany, Wolf earned his Ph.D. in mathematics from the Technical University of Munich in 1999. He holds a ...