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SSRN Electronic Journal, 2016 44 pages; a trivial typo corrected, references updated; to appear in The Journal of Investment Strategies.
Kakushadze, Zura, Yu, Willie
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Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics [PDF]
Frontiers in Network PhysiologyCerebral physiological signals embody complex neural, vascular, and metabolic processes that provide valuable insight into the brain’s dynamic nature. Profound comprehension and analysis of these signals are essential for unraveling cerebral intricacies,
Nuray Vakitbilir +13 more
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GDP Forecasting: Machine Learning, Linear or Autoregression?
Frontiers in Artificial Intelligence, 2021 This paper compares the predictive power of different models to forecast the real U.S. GDP. Using quarterly data from 1976 to 2020, we find that the machine learning K-Nearest Neighbour (KNN) model captures the self-predictive ability of the U.S. GDP and
Giovanni Maccarrone +3 more
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Incident Analysis and Prediction of Safety Performance on Construction Sites
CivilEng, 2022 The hazardous nature of the construction environment and current incident statistics indicate a pressing need for safety performance improvement. One potential approach is the strategic analysis of leading indicators for measuring safety performance as ...
Ibukun Awolusi +3 more
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Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation
IEEE Access, 2023 This paper presents a review of the literature on network traffic prediction, while also serving as a tutorial to the topic. We examine works based on autoregressive moving average models, like ARMA, ARIMA and SARIMA, as well as works based on Artifical ...
Gabriel O. Ferreira +4 more
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Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs
Vaccines, 2022 The COVID-19 pandemic has raised a number of new realities, sets of data, and opportunities for data-driven approaches, decisions, and conclusions. One particular area for which developments and data have been made available in record time is related to ...
Nuno Antonio, Paulo Rita, Pedro Saraiva
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Land, 2023 Mangroves are brackish wetland ecosystems found in tropical areas. They are highly productive ecosystems that contribute to the economic empowerment of local communities.
Corine Bitossessi Laurenda Sinsin +4 more
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Meteorological Applications, 2023 Snowfall forecasting has historically been an area of difficulty for operational meteorologists, particularly in regions of complex terrain, such as the western United States.
Charles Andrew Hoopes +4 more
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Frontiers in Molecular Biosciences, 2021 Rare diseases, although individually rare, collectively affect approximately 350 million people worldwide. Currently, nearly 6,000 distinct rare disorders with a known molecular basis have been described, yet establishing a specific diagnosis based on ...
Lea D. Schlieben +5 more
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Statistical models of fracture [PDF]
Advances in Physics, 2006 Disorder and long-range interactions are two of the key components that make material failure an interesting playfield for the application of statistical mechanics. The cornerstone in this respect has been lattice models of the fracture in which a network of elastic beams, bonds or electrical fuses with random failure thresholds are subject to an ...
Mikko J. Alava +2 more
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