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Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data,...
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-- Chapter 9. A Micro Behavior Approach to Estimating and Forecasting the Intervening Opportunity Effects with a Multivariate … logit model, and a chapter serving as a practical research manual for forecasting changes caused by urban development based …
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Chapter 1 System Science -- Chapter 2 Decision-Making Methods -- Chapter 3 Prediction Methods -- Chapter 4 Evaluation Methods -- Chapter 5 Optimization Algorithm -- Chapter 6 System Reliability -- Chapter 7 Game Theory -- Chapter 8 Management Simulation -- Chapter 9 Complexity Science.-Chapter...
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data sampling (MIDAS) regression is mainly a forecasting tool designed to harness mixed-frequency data. This dissertation … supervise banks inconsistently which affects the formation of costs. The accuracy of forecasting is low for banks supervised by … and it is discovered that the MIDAS model has superior forecasting accuracy as compared to the HAR model. The economic …
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