Complex traits with multiple phenotypic values changing over time are called time-dependent or longitudinal traits. Knowledge of the genetic effects influencing longitudinal patterns is important to ...
Alcácer, Juan, Wilbur Chung, Ashton Hawk, and Gonçalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects." Strategy ...
Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 164, No. 2 (2001), pp. 259-273 (15 pages) Commonly applied diagnostic procedures in random-coefficient (multilevel) ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random neighborhoods regression technique, where the goal is to predict a single numeric value. Compared ...
The slope and intercepts we compute in a regression model are statistics calculated from the sample data. They are point estimates of corresponding parameters; namely, the slope and intercept in the ...
A large class of flows and stocks series related to production, shipments, sales and inventories are affected by trading-day or calendar variations. Trading-day variations represent the 'within-month ...
The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as linear regression, k-nearest neighbors ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results