Archive:: International Journal of Data Science and Analysis:: Science Publishing Group

Volume 9, Issue 2, April 2023

Research Article
Forecasting Stock Prices Using Heston-Artificial Neural Network Model

Ann Maina, Samuel Mwalili, Bonface Malenje

Issue: Volume 9, Issue 2, April 2023

Pages: 22-33

Received: 13 September 2023

Accepted: 4 October 2023

Published: 28 October 2023

DOI: 10.11648/j.ijdsa.20230902.11

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Abstract: Considering the evolution of financial globalization and the impacts of the global economic crisis, stock trading faces unprecedented fluctuations. The inherent volatility in stock prices has resulted in market uncertainty, prompting an interest among investors in reliable pricing models in order to maximize profits. To this end, researchers have c... Show More

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Research Article
Modeling and Forecasting the Domestic Retail Price of Teff in Ethiopia

Sisay Yohannes Gagabo

Issue: Volume 9, Issue 2, April 2023

Pages: 34-42

Received: 24 September 2023

Accepted: 10 October 2023

Published: 28 October 2023

DOI: 10.11648/j.ijdsa.20230902.12

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Abstract: One of the most popular main food crops grown by the majority of Ethiopians is teff (Eragrostis teff). More than 90% of the teff consumed worldwide is grown in Ethiopia. Despite having the highest output volume, this Ethiopian cereal crop has the highest price. The major goal of this study was to estimate and predict the domestic retail price of te... Show More

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Research Article
Bayesian Kernel Machine Analysis of Communicable Diseases Distribution in Machakos County, Kenya

Cecilia Mbithe Titus, Anthony Wanjoya, Thomas Mageto

Issue: Volume 9, Issue 2, April 2023

Pages: 43-49

Received: 21 September 2023

Accepted: 20 October 2023

Published: 31 October 2023

DOI: 10.11648/j.ijdsa.20230902.13

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Abstract: Effective management and control of communicable diseases are paramount for healthcare managers. Data-driven analysis plays a crucial role in understanding and curbing the spread of such diseases. While numerous epidemiological models have been developed to explain disease spread, many lack the incorporation of prior and posterior probabilities. In... Show More

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