Quantile regression - Globe Thesis

Keyword [Quantile regression] Result: 181 - 200 \| Page: 10 of 10
181.	Hierarchical Power Load Forecasting Based On Quantile Regression Neural Network
182.	Application Of △CoVaR In Measuring Tail Dependence Between Mainland’s And HongKong’s Capital Market
183.	Research On Monitoring Method Of Soil Salinization Based On Satellite Remote Sensing Data Assimilation
184.	Application Of The Weighted Quantile Regression With Adaptive LASSO Method In Overseas Property Valuation
185.	Application Of Zero-adjusted Regression Models And Credibility Theory In Calculating Auto Insurance Premium
186.	Probability Density Prediction Method Of Renewable Energy Based On B-spline Quantile Regression
187.	Adaptive Group Lasso Penalty Quantile Regression Method For High-dimensional Change-Point Model
188.	Performance Evaluation Of Financial Portfolio Based On Regression Of Elastic Network Quantile
189.	Wind Power Probability Density Forecasting Method Based On EMD,Error Correction And Bootstrap Quantile Regression
190.	Mining The Default Characteristics Of Small Private Businesses Lending Micro Credit Based On Quantile Regression
191.	Carbon Price Prediction Based On QRNN Model
192.	B-spline Estimation Of Single Index Variable Coefficient Model
193.	Research On Optimal Quantile Regression Based On Variable Gaussian Kernel Function
194.	Research On VaR Of Chinese Stock Market Based On Quantile Regression
195.	Research On VaR Measurement Of Financial Risk Based On Quantile Regression Method
196.	Based On The Quantile Regression And Lasso Regression Model, The Influence Of The Characteristics Of The Board Of Directors On The Financial Performance Of Listed Companies On The GEM And The Prediction Research
197.	Variable Selection And Heteroscedasticity Identification Based On Quantile Regression
198.	Robust Variable Selection With Outliers Based On Combined Quantile Regression
199.	Research On The Impact Of Investor Sentiment On China's Stock Market Returns And Volatility
200.	Multiple imputation and quantile regression methods for biomarker data subject to detection limits
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