A multivariate time series analysis of energy consumption, real output and pollutant emissions in a developing economy: New evidence from Nepal

Pollutant Emissions ◽

Real Output ◽

Developing Economy ◽

Series Analysis ◽

Multivariate Time Series Analysis ◽

New Evidence

Financial development and energy consumption nexus in Malaysia: A multivariate time series analysis

Economic Modelling ◽

10.1016/j.econmod.2012.09.033 ◽

2013 ◽

Vol 30 ◽

pp. 435-441 ◽

Cited By ~ 222

Author(s):

Faridul Islam ◽

Muhammad Shahbaz ◽

Ashraf U. Ahmed ◽

Md. Mahmudul Alam

Keyword(s):

Time Series ◽

Energy Consumption ◽

Time Series Analysis ◽

Financial Development ◽

Series Analysis ◽

Interrelation Between Economic Growth, Financial Development, Trade, Energy Consumption, and Environmental Degradation: A Multivariate Time Series Analysis on Turkey

Economic Growth and Demographic Transition in Third World Nations ◽

10.1201/9780429433894-13 ◽

2019 ◽

pp. 230-244

Author(s):

Kamil Demirberk Ünlü ◽

Nihan Potas ◽

Mehmet Yılmaz

Keyword(s):

Economic Growth ◽

Time Series ◽

Energy Consumption ◽

Time Series Analysis ◽

Financial Development ◽

Environmental Degradation ◽

Series Analysis ◽

Discerning cognitive stages in a working memory and decision making task from human fMRI data using multivariate time series analysis

Frontiers in Computational Neuroscience ◽

10.3389/conf.fncom.2012.55.00228 ◽

2012 ◽

Vol 6 ◽

Author(s):

Durstewitz Daniel

Keyword(s):

Decision Making ◽

Working Memory ◽

Time Series ◽

Time Series Analysis ◽

Fmri Data ◽

Series Analysis ◽

Does volume or occupancy influence emergency access block? A multivariate time series analysis from a single emergency department in Sydney Australia during the COVID ‐19 pandemic

Emergency Medicine Australasia ◽

10.1111/1742-6723.13717 ◽

2021 ◽

Author(s):

Kendall Bein ◽

Saartje Berendsen Russell ◽

Sinéad Ní Bhraonáin ◽

Radhika V Seimon ◽

Michael M Dinh

Keyword(s):

Emergency Department ◽

Time Series ◽

Time Series Analysis ◽

Series Analysis ◽

Multivariate Time Series Analysis ◽

Sydney Australia

Multivariate Time Series Analysis and Its Applications

Analysis of Financial Time Series ◽

10.1002/0471264105.ch8 ◽

2003 ◽

pp. 299-356

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Series Analysis ◽

Process Components for Multivariate Time Series Analysis

Journal of the Operational Research Society ◽

10.1057/jors.1980.59 ◽

1980 ◽

Vol 31 (4) ◽

pp. 325-330 ◽

Cited By ~ 1

Author(s):

J. G. Crookes ◽

K. Croston ◽

P. Sypsas

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Series Analysis ◽

Deep Learning Approaches to Electrophysiological Multivariate Time-Series Analysis

Artificial Intelligence in the Age of Neural Networks and Brain Computing ◽

10.1016/b978-0-12-815480-9.00011-6 ◽

2019 ◽

pp. 219-243 ◽

Cited By ~ 2

Author(s):

Francesco Carlo Morabito ◽

Maurizio Campolo ◽

Cosimo Ieracitano ◽

Nadia Mammone

Keyword(s):

Time Series ◽

Deep Learning ◽

Time Series Analysis ◽

Learning Approaches ◽

Series Analysis ◽

Matrix factorization for multivariate time series analysis

Electronic Journal of Statistics ◽

10.1214/19-ejs1630 ◽

2019 ◽

Vol 13 (2) ◽

pp. 4346-4366 ◽

Cited By ~ 1

Author(s):

Pierre Alquier ◽

Nicolas Marie

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Matrix Factorization ◽

Series Analysis ◽

Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing

10.1109/iv48863.2021.9576028 ◽

2021 ◽

Author(s):

Kenny Schlegel ◽

Florian Mirus ◽

Peer Neubert ◽

Peter Protzel

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Analysis ◽

Driving Style ◽

Series Analysis ◽

Contemporary Biostatistics with Biopharmaceutical Applications - ICSA Book Series in Statistics ◽

Dimension Reduction in High Dimensional Multivariate Time Series Analysis

10.1007/978-3-030-15310-6_3 ◽

2019 ◽

pp. 33-59 ◽

Cited By ~ 1

Author(s):

William W. S. Wei

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Dimension Reduction ◽

High Dimensional ◽

Series Analysis ◽