International Journal of Interactive Multimedia and Artificial Intelligence, 2022 Machine learning (ML) is generating new opportunities for innovative research in areas apparently unrelated such as, economics, business or/and finance.
Antonio A. Golpe +3 more
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Determinant and inverse of a sum of matrices with applications in economics and statistics [PDF]
, 1978 In this note we present some useful tools concerning the determinant and the inverse of the sum of two matrices. Some of the results shown here are found in the statistical and econometric literature, but often without proof and without a clear statement of the conditions under which they hold.
Balestra, Pietro
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A General Class of Tests for Testing Homogeneity of Location Parameters against Umbrella Alternatives [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2018 In this paper, a general class of non-parametric tests for testing homogeneity of location parameter against umbrella alternatives is proposed. Testing for umbrella alternatives has many applications in the field of biology, medicine, botany, dose level ...
Manish Goyal, Narinder Kumar
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Probability and Statistics with Applications in Finance and Economics [PDF]
The Scientific World Journal, 2015 Probability and statistics play a vital role in every field of human activity. In particular, they are quantitative tools widely used in the areas of economics and finance. Knowledge of modern probability and statistics is essential for the development of economic and finance theories and for the testing of their validity through robust analysis of ...
Sarah Brown, Wing Keung Wong
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On partially Schur-constant models and their associated copulas
Dependence Modeling, 2021 Schur-constant vectors are used to model duration phenomena in various areas of economics and statistics. They form a particular class of exchangeable vectors and, as such, rely on a strong property of symmetry.
Lefèvre Claude
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The Raising Factor, That Great Unknown. A Guided Activity for Undergraduate Students
Journal of Statistics Education, 2020 In the first years of their economics degree programs, students will face many problems successfully dealing with a range of subjects with quantitative content.
María Caballer-Tarazona +1 more
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18. International symposium on econometrics operation research and statistics [PDF]
, 2017 . “XVIII. International Symposium on Econometrics Operations Research and Statistics” hosted by Karadeniz Technical University, Faculty of Economics and Administrative Sciences, Department of Econometrics was held in Trabzon between 5th and 7th of ...
BÖLÜKBAŞ, Mehmet;
Department of Economics, Faculty of Economics and Business Administration, Gumushane University, Gumushane, Turkey.
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Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks [PDF]
, 2009 Quantile regression is an increasingly important empirical tool in economics and other sciences for analyzing the impact of a set of regressors on the conditional distribution of an outcome. Extremal quantile regression, or quantile regression applied to
Victor Chernozhukov +6 more
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Financial repression, financial deepening and their effects on Iranian industrial development [PDF]
Management Science Letters, 2014 This research analyzes the effects of financial deepening as well as repression on industrial development in Iran. Using some time series data, the proposed study applies the method originally introduced by Johansen and Juselius (1990) [Johansen, S ...
Iman Jokar
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Wellcome Open Research, 2019 Likelihood-free inference for simulator-based models is an emerging methodological branch of statistics which has attracted considerable attention in applications across diverse fields such as population genetics, astronomy and economics.
Jan Kokko +4 more
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