Large language models often give confident answers even when the question can’t be answered. New research shows these models ...

The linear regression model owes so much to Gauss that we believe it should bear his name. Other authors who made substantial contributions are: Cauchy who introduced the idea of orthogonality; ...

Students at all levels of study in the theory of probability and in the theory of statistics will find in this book a broad and deep cross-section of problems (and their solutions) ranging from the ...

Olefin block copolymers (OBCs)─a new type of linear thermoplastic ethylene/1-olefin elastomer─are made via chain-shuttling polymerization using two catalysts with different reactivity ratios and a ...

Using Probability Models to Design the Microstructure of Linear Olefin Block Copolymers Journal: Macromolecules Published: 2024-06-17 DOI: 10.1021/acs.macromol.3c02262 Affiliations: 3 Authors: 3 ...

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015) - mca91/EconometricsWithR ...

Zhou began his quest for the solution to this problem with a simple question posed to his introductory probability class for engineering students. In the class, he asked: “What is the probability of ...

We deal with a model where a set of observations is obtained by a linear superposition of unknown components called sources. The problem consists in recovering the sources without knowing the linear ...

The burnout probability can be estimated from large numbers of computationally intensive simulations, but an easily computable formula for the burnout probability has never been found. Using a ...