spsiv generates Synthetic Instrumental Variables (SIV) for spatial regression. The command uses the spatial filter procedure to generate appropriate instrumental variables for both spatial and spatial ...

New York – September 2, 2025 – With the start of the broadcast and football seasons this month, Nielsen today shared several updates for reporters covering TV, as the industry is adopting Nielsen’s ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

This study introduces a more flexible approach by employing the fixed effects negative binomial model to address challenges associated with outliers and dispersion. Unlike previous studies that ...

ABSTRACT: The objective of this study is to analyze the impact of financial development (variable of interest) on fossil energy demand (dependent variable) in West African Economic and Monetary Union ...

Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

The model was trained on more than 10 million real decisions made by participants of psychological experiments. Using this dataset, Centaur predicted and simulated how people would think and behave ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Abstract: The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. To solve these problems, this study combines Markov chain Monte Carlo ...