The importance of the working document is that it allows the analysis of the information and the status of cases associated with (SARS-CoV-2) COVID-19 as open data at the municipal, state and national level, with a daily record of patients, according to a age, sex, comorbidities, for the...

Voting features based classifiers, shortly VFC, have been shown to perform well on most real-world data sets. They are robust to irrelevant features and missing feature values. In this paper, we introduce an extension to VFC, called voting features based classifier with feature construction,...

Recent financial crises and especially large corporate bankruptcies, have led bank managements and financial authorities to follow and monitor both financial and real sector risks, and to focus on firm failures. Bank of International Settlements, has therefore, taken the decision to include the...

We discuss the results of the statistical tolerance test of the General Administration Management component of the Capital Expenditure of the Bangalore Municipal Corporation which carries ahead our two previous connected studies (A. Sathyavathi (2023(a)), Analysis of the General Administration...

In continuation of our previous study (A. Sathyavathi (2023). Analysis of the General Administration Management Expenditure of the Bangalore Municipal Corporation https://www.ssrn.com/abstract=4403863 ; http://dx.doi.org/10.2139/ssrn.4403863 ) we propose to further analyze the sample of the...

In this very first paper of a series of forthcoming research papers of ours, which we propose to bring out in near future regarding the detailed statistical and mathematical analysis of the financial resources and the budget of the Bangalore Municipal Corporation (more appropriately now called...

Stocks' returns are moved by many risk factors. Thematic stock indices try to represent these factors but are limited by the fact that risk factors are not directly observable. This paper shows a method to uncover hidden risk factors through text analysis. It applies the dynamic variant of the...

Local (perturbation) methods compute solutions in one point and tend to deliver far lower accuracy levels than global solution methods. We develop a hybrid method that solves for some policy functions locally (using a perturbation method) and that solves for the other policy functions globally...

OpenEDGAR is an open source Python framework designed to rapidly construct research databases based on the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system operated by the US Securities and Exchange Commission (SEC). OpenEDGAR is built on the Django application framework,...