In this article, a Bayesian model for a constrained linear regression problem is studied. The constraints arise naturally in the context of predicting the new crop of apples for the year ahead. We ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
The findings of a comparative analysis of linear and nonlinear evaluation process models using 3 (number of models) x 3 (levels of number of attributes) x 2 (levels of "acceptability" of alternatives) ...
A team of researchers published a comprehensive study on November 20 analyzing over 192,000 reasoning traces from large ...
Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...
Teacher Productivity, Strategies, Public Secondary Schools, Uasin Gishu, Baringo, Kenya Share and Cite: Kiptoo, D. , Omachar, B.S. and Kegode, G. (2025) Strategies for Enhancing Teacher Productivity ...
Objectives Understanding contextual drivers of family planning is crucial for designing effective, context-specific policies and programmes. This study aimed to assess (1) the extent to which province ...
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