Institutions and carbon emissions: an investigation employing STIRPAT and machine learning methods
We employ an extended Stochastic Impacts by Regression on Population, Affluence and
Technology (STIRPAT) model combined with the environmental Kuznets curve and machine …
Technology (STIRPAT) model combined with the environmental Kuznets curve and machine …
Dominant Drivers of National Inflation
J Ditzen, F Ravazzolo - arXiv preprint arXiv:2212.05841, 2022 - arxiv.org
For western economies a long-forgotten phenomenon is on the horizon: rising inflation rates.
We propose a novel approach christened D2ML to identify drivers of national inflation. D2ML …
We propose a novel approach christened D2ML to identify drivers of national inflation. D2ML …
Identifying the regional drivers of influenza-like illness in Nova Scotia, Canada, with dominance analysis
The spread of viral pathogens is inherently a spatial process. While the temporal aspects of
viral spread at the epidemiological level have been increasingly well characterized, the …
viral spread at the epidemiological level have been increasingly well characterized, the …
Nowcasting macroeconomic indicators with alternative data: a literature review
MP Libório, MP Griecco, RC Vega… - … Journal of Business …, 2023 - inderscienceonline.com
This research explores an emerging topic in the economic literature: the nowcasting of
macroeconomic indicators with alternative data. The research reveals that alternative data is …
macroeconomic indicators with alternative data. The research reveals that alternative data is …
Identifying the regional drivers of influenza-like illness in Nova Scotia with dominance analysis
Y Aydede, J Ditzen - arXiv preprint arXiv:2212.06684, 2022 - arxiv.org
The spread of viral pathogens is inherently a spatial process. While the temporal aspects of
viral spread at the epidemiological level have been increasingly well characterized, the …
viral spread at the epidemiological level have been increasingly well characterized, the …
[PDF][PDF] на тему:«Використання машинного навчання для прогнозування інвестицій»
ДС Яцюк, ЮВ Клебан, ВВ Місай - theses.oa.edu.ua
У третьому розділі описані використані дані, способи їх трансформації та методи
побудови прогнозів, містяться емпіричні результати дослідження Здійснено їх …
побудови прогнозів, містяться емпіричні результати дослідження Здійснено їх …