Forecasting China's wastewater discharge using dynamic factors and mixed-frequency data

Environmental Pollution ◽

10.1016/j.envpol.2019.113148 ◽

2019 ◽

Vol 255 ◽

pp. 113148 ◽

Author(s):

Lili Ding ◽

Zhanlei Lv ◽

Meng Han ◽

Xin Zhao ◽

Wei Wang

Keyword(s):

Frequency Data ◽

Wastewater Discharge ◽

Mixed Frequency ◽

Dynamic Factors ◽

Mixed Frequency Data

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Forecasting China’s Steam Coal Prices Using Dynamic Factors and Mixed-Frequency Data

Polish Journal of Environmental Studies ◽

10.15244/pjoes/131856 ◽

2021 ◽

Author(s):

Chunyang Wang ◽

Wanglin Kang

Keyword(s):

Frequency Data ◽

Mixed Frequency ◽

Dynamic Factors ◽

Mixed Frequency Data

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Forecasting China's GDP growth using dynamic factors and mixed-frequency data

Economic Modelling ◽

10.1016/j.econmod.2017.06.005 ◽

2017 ◽

Vol 66 ◽

pp. 132-138 ◽

Author(s):

Yu Jiang ◽

Yongji Guo ◽

Yihao Zhang

Keyword(s):

Frequency Data ◽

Mixed Frequency ◽

Dynamic Factors ◽

Mixed Frequency Data

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Business Cycles Analysis of Daegu-Gyeongbuk Province Using Mixed-Frequency Data

Journal of Economic Studies ◽

10.30776/jes.35.1.6 ◽

2017 ◽

Vol 35 (1) ◽

pp. 115-144

Author(s):

Youngjin Hwang

Keyword(s):

Business Cycles ◽

Frequency Data ◽

Mixed Frequency ◽

Mixed Frequency Data

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A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2020.3046114 ◽

2020 ◽

pp. 1-1

Author(s):

Hong Yu ◽

Qian Yang ◽

Guoyin Wang ◽

Yongfang Xie

Keyword(s):

Data Classification ◽

Frequency Data ◽

Mixed Frequency ◽

Mixed Frequency Data

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Testing for Granger Causality with Mixed Frequency Data

SSRN Electronic Journal ◽

10.2139/ssrn.2465448 ◽

2014 ◽

Author(s):

Eric Ghysels ◽

Jonathan B. Hill ◽

Kaiji Motegi

Keyword(s):

Granger Causality ◽

Frequency Data ◽

Mixed Frequency ◽

Mixed Frequency Data

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High-Dimensional Copula-Based Distributions with Mixed Frequency Data

SSRN Electronic Journal ◽

10.2139/ssrn.2631691 ◽

2015 ◽

Author(s):

Dong Hwan Oh ◽

Andrew J. Patton

Keyword(s):

High Dimensional ◽

Frequency Data ◽

Mixed Frequency ◽

Mixed Frequency Data

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Forecasting Chinese GDP with Mixed Frequency Data Set: A Generalized Lasso Granger Method

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-642-38715-9_20 ◽

2013 ◽

pp. 163-172

Author(s):

Zhe Gao ◽

Jianjun Yang ◽

Shaohua Tan

Keyword(s):

Frequency Data ◽

Data Set ◽

Mixed Frequency ◽

Generalized Lasso ◽

Mixed Frequency Data

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Development and Research of Models of Time Mixed-Frequency Data on an Example of the Analysis of Productivity of Grain Crops

2018 Ivannikov Ispras Open Conference (ISPRAS) ◽

10.1109/ispras.2018.00016 ◽

2018 ◽

Author(s):

Irina Bolodurina ◽

Denis Parfenov ◽

Kristina Pivovarova

Keyword(s):

Frequency Data ◽

Mixed Frequency ◽

Grain Crops ◽

Mixed Frequency Data

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Macroeconomics and the Reality of Mixed Frequency Data

SSRN Electronic Journal ◽

10.2139/ssrn.2069998 ◽

2012 ◽

Author(s):

Eric Ghysels

Keyword(s):

Frequency Data ◽

Mixed Frequency ◽

Mixed Frequency Data

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Forecasting Czech GDP Using Mixed-Frequency Data Models

Journal of Business Cycle Research ◽

10.1007/s41549-016-0008-z ◽

2016 ◽

Vol 12 (2) ◽

pp. 165-185 ◽

Author(s):

Michal Franta ◽

David Havrlant ◽

Marek Rusnák

Keyword(s):

Data Models ◽

Frequency Data ◽

Mixed Frequency ◽

Mixed Frequency Data

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