# getting importance scores from previous modelimportance_scores = pd.Series(dict(zip(X_tr.columns, model.feature_importances_)))# getting top 10 featurestop_10_features = importance_scores.sort_values(ascending=False)[:10]top_10_features_nm = top_10_features.indexX_tr_top = X_tr[top_10...
Monetary Policy and the Top 10%: A Time-Series Analysis Using ARDL and ECMauto-regressive distributed lag modelmonetary policyengle-granger approacherror correction modelincome inequalityFor the past decades, income inequality has been on the rise, and so is the frequency of its mentions in recent...
MDP）。马尔科夫决策过程是基于马尔科夫论的随机动态系统的最优决策过程。它是马尔科夫过程与确定性的动态规划相结合的产物，故又称马尔科夫型随机动态规划，属于运筹学中数学规划的一个分支。今天我们给大家介绍下马尔可夫决策过程中用到一些算法以及这些算法在R语言中如何实现的。
Any model in which the series are not centered about zero will typically require a constant term, whereas any model in which the series exhibit a trend, will in general have better fit when a trend term is incorporated. Our discussion in Part 1 and Part 2 of this series discussed the ...
A time series analysis. Econ Model 35:145–152 Article Google Scholar Shahbaz M, Shahzad SJH, Ahmad N, Alam S (2016) Financial development and environmental quality: the way forward. Energy Policy 98:353–364 Article Google Scholar Shahbaz M, Nasir MA, Roubaud D (2018) Environmental ...
Annual time series data between 1970 and 2015 were used for empirical investigations through the application of the newly introduced quantile autoregressive distributed lag model. Following this extensive investigation, the following evidence emerged. A long-run relationship exists between global economic ...
Introduction ARDL model EC representation Bounds testing Postestimation Further topics Summary ARDL: autoregressive distributed lag model The autoregressive distributed lag (ARDL)1 model is being used for decades to model the relationship between (economic) variables in a single-equation time series setup...
ardl_model<-ardl(LRM~LRY+IBO+IDE,data=denmark,order=c(3,1,3,2)) Without theARDLpackage: (Using thedynlmpackage, because striving with thelmfunction would require extra data transformation to behave like time-series) library(dynlm)#> Loading required package: zoo#>#> Attaching package: 'zoo...
capita Methods:Basedonmacrotimeseriesdata,throughtakingintoaccountfactorssuchaspercapitaGDP governmenthealthinput provided auto-regressivedistributedlagmodels(ARDL)anderrorcorrectionmodel(ECM)areestablishedtoanalyzetheeffects ResultsandConclusions:Theeffectsofrelativepricesofhealthcaregoodsonrealhealthexpenditurepercapitaar...
Finally, this study presents quantile ARDL model results in Table 6. In this Table, Q0.05-Q0.95 are the various quantiles of the energy demand, where Q0.05 indicates that lowest quantile and Q0.95 indicates the highest quantile of the energy demand series. Our short-run estimates again provide...