Modeling And Advanced Techniques In Modern Economics
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Annex II Countries
Artificial Neural Networks
Category=KCH
Chaotic Time Series
Clustering Analyses
Consumer Price Index
COVID-19
Deep Neural Networks
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Europe Union
Fiducial Approach
Financial Stability
Financial Time Series
Food Inflation
Gaussian Distribution
GDP
Green Swan
Harmonic Regression
Hypothesis Testing
Kernels
Location Parameters
Machine Learning
Measurement Errors
Nonlinear Time Series
Optimization
Panel Data
Parameter Estimation
Performance Criteria
Periodograms
Phyton
Spatial Regression
Statistical Inference
Statistical Learning
Stock Index
Time Series Forecasting
Turkey
Weibull Distribution
WSAR Algorithm
Product details
- ISBN 9781800611740
- Publication Date: 14 Sep 2022
- Publisher: World Scientific Europe Ltd
- Publication City/Country: GB
- Product Form: Hardback
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In the modern world, data is a vital asset for any organization, regardless of industry or size. The world is built upon data. However, data without knowledge is useless. The aim of this book, briefly, is to introduce new approaches that can be used to shape and forecast the future by combining the two disciplines of Statistics and Economics.Readers of Modeling and Advanced Techniques in Modern Economics can find valuable information from a diverse group of experts on topics such as finance, econometric models, stochastic financial models and machine learning, and application of models to financial and macroeconomic data.
