Feng Li
Names
Identifer
Contact
| email: |
feng.li at domain cufe.edu.cn
|
| homepage: |
http://feng.li/ |
|
| phone: |
+861061776123 |
| postal address: |
School of Statistics and Mathematics
Central University of Finance and Economics (Shahe Campus)
Shahe University Park, Changping District
Beijing 102206, China |
Affiliations
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Central University of Finance and Economics (CUFE)
Research profile
author of:
- Forecasting: theory and practice (RePEc:arx:papers:2012.03854)
by Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet - Bayesian forecast combination using time-varying features (RePEc:arx:papers:2108.02082)
by Li Li & Yanfei Kang & Feng Li - Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications (RePEc:arx:papers:2204.08283)
by Li Li & Yanfei Kang & Fotios Petropoulos & Feng Li - Optimal reconciliation with immutable forecasts (RePEc:arx:papers:2204.09231)
by Bohan Zhang & Yanfei Kang & Anastasios Panagiotelis & Feng Li - Efficient Bayesian Multivariate Surface Regression (RePEc:bla:scjsta:v:40:y:2013:i:4:p:706-723)
by Feng Li & Mattias Villani - Forecast with forecasts: Diversity matters (RePEc:eee:ejores:v:301:y:2022:i:1:p:180-190)
by Kang, Yanfei & Cao, Wei & Petropoulos, Fotios & Li, Feng - Optimal reconciliation with immutable forecasts (RePEc:eee:ejores:v:308:y:2023:i:2:p:650-660)
by Zhang, Bohan & Kang, Yanfei & Panagiotelis, Anastasios & Li, Feng - Improving forecasting performance using covariate-dependent copula models (RePEc:eee:intfor:v:34:y:2018:i:3:p:456-476)
by Li, Feng & Kang, Yanfei - Forecasting: theory and practice (RePEc:eee:intfor:v:38:y:2022:i:3:p:705-871)
by Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh - FFORMPP: Feature-based forecast model performance prediction (RePEc:eee:intfor:v:38:y:2022:i:3:p:920-943)
by Talagala, Thiyanga S. & Li, Feng & Kang, Yanfei - Hierarchical forecasting with a top-down alignment of independent-level forecasts (RePEc:eee:intfor:v:38:y:2022:i:4:p:1405-1414)
by Anderer, Matthias & Li, Feng - Distributed ARIMA models for ultra-long time series (RePEc:eee:intfor:v:39:y:2023:i:3:p:1163-1184)
by Wang, Xiaoqian & Kang, Yanfei & Hyndman, Rob J. & Li, Feng - Bayesian forecast combination using time-varying features (RePEc:eee:intfor:v:39:y:2023:i:3:p:1287-1302)
by Li, Li & Kang, Yanfei & Li, Feng - Forecast combinations: An over 50-year review (RePEc:eee:intfor:v:39:y:2023:i:4:p:1518-1547)
by Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei - Déjà vu: A data-centric forecasting approach through time series cross-similarity (RePEc:eee:jbrese:v:132:y:2021:i:c:p:719-731)
by Kang, Yanfei & Spiliotis, Evangelos & Petropoulos, Fotios & Athiniotis, Nikolaos & Li, Feng & Assimakopoulos, Vassilios - Relationships between Perfectionism, Extra Training and Academic Performance in Chinese Collegiate Athletes: Mediating Role of Achievement Motivation (RePEc:gam:jijerp:v:19:y:2022:i:17:p:10764-:d:901012)
by Chengjiang Han & Feng Li & Bizhen Lian & Tomas Vencúrik & Wei Liang - Flexible Modeling of Conditional Distributions Using Smooth Mixtures of Asymmetric Student T Densities (RePEc:hhs:rbnkwp:0233)
by Li, Feng & Villani, Mattias & Kohn, Robert - Modeling Conditional Densities Using Finite Smooth Mixtures (RePEc:hhs:rbnkwp:0245)
by Li, Feng & Villani, Mattias & Kohn, Robert - Efficient generation of time series with diverse and controllable characteristics (RePEc:msh:ebswps:2018-15)
by Yanfei Kang & Rob J Hyndman & Feng Li - Feature-based Forecast-Model Performance Prediction (RePEc:msh:ebswps:2019-21)
by Thiyanga S. Talagala & Feng Li & Yanfei Kang - Distributed ARIMA Models for Ultra-long Time Series (RePEc:msh:ebswps:2020-29)
by Xiaoqian Wang & Yanfei Kang & Rob J Hyndman & Feng Li - Forecasting Large Collections of Time Series: Feature-Based Methods (RePEc:pal:paiecp:978-3-031-35879-1_10)
by Li Li & Feng Li & Yanfei Kang - Changes in patterns of mortality rates and years of life lost due to firearms in the United States, 1999 to 2016: A joinpoint analysis (RePEc:plo:pone00:0225223)
by Hannah M Bailey & Yi Zuo & Feng Li & Jae Min & Krishna Vaddiparti & Mattia Prosperi & Jeffrey Fagan & Sandro Galea & Bindu Kalesan - A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating (RePEc:taf:jnlbes:v:40:y:2022:i:4:p:1691-1700)
by Rui Pan & Tunan Ren & Baishan Guo & Feng Li & Guodong Li & Hansheng Wang - Credit risk clustering in a business group: Which matters more, systematic or idiosyncratic risk? (RePEc:taf:oaefxx:v:7:y:2019:i:1:p:1632528)
by Feng Li & Zhuojing He - The uncertainty estimation of feature-based forecast combinations (RePEc:taf:tjorxx:v:73:y:2022:i:5:p:979-993)
by Xiaoqian Wang & Yanfei Kang & Fotios Petropoulos & Feng Li - Feature-based intermittent demand forecast combinations: accuracy and inventory implications (RePEc:taf:tprsxx:v:61:y:2023:i:22:p:7557-7572)
by Li Li & Yanfei Kang & Fotios Petropoulos & Feng Li