Autor: James T. Bang

Ajutor
Atin Basuchoudhary is the Roberts Professor of Free Enterprise Economics in the Department of Economics and Business at the Virginia Military Institute, USA. James T. Bang is the Economics Chair and Professor in the Department of Economics at St. Ambrose University, USA. John David is Professor of Applied Mathematics in the Department of Applied Mathematics, Jackson-Hope Distinguished Professor of Natural Science, and the Director Applied and Industrial Mathematics Program at the Virginia Military Institute, USA. Tinni Sen is the Alexander P. Morrison 1939 Professor of Economics and Business in the Department of Economics and Business at the Virginia Military Institute, USA.




5 Ebooks de James T. Bang

James T. Bang & Atin Basuchoudhary: Predicting Hotspots
This book should be useful to anyone interested in identifying the causes of civil conflict and doing something to end it. It even suggests a pathway for the lay reader. Civil conflict is a persisten …
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€146.94
Atin Basuchoudhary & James T. Bang: Machine-learning Techniques in Economics
This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to …
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€69.54
James T. Bang & Bharati (Central Michigan University, USA) Basu: International Remittance Payments and the Global Economy
International Remittance Payments are described mainly as money sent by immigrants to their families and friends in their home countries. These payments provide an important source of income that is …
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€64.59
James T. Bang & Bharati (Central Michigan University, USA) Basu: International Remittance Payments and the Global Economy
International Remittance Payments are described mainly as money sent by immigrants to their families and friends in their home countries. These payments provide an important source of income that is …
PDF
DRM
€64.07
Atin Basuchoudhary & James T. Bang: Identifying the Complex Causes of Civil War
This book uses machine-learning to identify the causes of conflict from among the top predictors of conflict. This methodology elevates some complex causal pathways that cause civil conflict over oth …
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€64.19