Results 31 to 40 of about 39,773,911 (332)
Indonesian Journal of Mathematics and ApplicationsHomoscedasticity is an important assumption for statistical models, one of which is linear regression models from economic aspects which generally have time series type data. The Almon method is one approach used to handle lag effects in time series data.
Salsa Agung Oktariana +1 more
semanticscholar +1 more source
Energy Strategy Reviews, 2019 China-Pakistan Economic Corridor is a strategic economic project to enhance economic connectivity between Pakistan and China. We estimate the impact of CPEC related economic activities on overall energy consumption and its saving potential for Pakistan ...
F. Mirza, N. Fatima, Kafait Ullah
semanticscholar +1 more source
Non-crossing quantile double-autoregression for the analysis of streaming time series data [PDF]
, 2023 Data availability statement: The data that support the findings of this study are openly available in Yahoo Finance at https://hk.finance.yahoo.com.Many financial time series not only have varying structures at different quantile levels and exhibit the ...
Choy, SK, Yu, K, Jiang, R
core +1 more source
Applied and Computational EngineeringThis paper explores the application of machine learning in financial time series analysis, focusing on predicting trends in financial enterprise stocks and economic data.
Haotian Zheng +4 more
semanticscholar +1 more source
Tobacco Control, 2017 Objectives To evaluate the effectiveness of a complex intervention to improve referral and treatment of pregnant smokers in routine practice, and to assess the incremental costs to the National Health Service (NHS) per additional woman quitting smoking ...
R. Bell +13 more
semanticscholar +1 more source
Safety Science, 2018 Using time series data over the period of 1984–2015, this paper applies the combined autoregressive distributed lag (ARDL) and vector error correction model (VECM) approach to identify short- and long-run causal relationships between the number of road ...
Xin Li, Liyu Wu, Xian-Feng Yang
semanticscholar +1 more source
findstructureintime/Time-Series-Analysis v0.0.1
, 2020 This is the github repository containing the four Matlab code modules with sample examples introduced in the paper, Finding Structure in Time: Visualizing and Analyzing Behavioral Time ...
Tian Linger Xu
core +1 more source
Social distancing to slow the U.S. COVID-19 epidemic: an interrupted time-series analysis
medRxiv, 2020 Background: Social distancing measures to address the U.S. COVID-19 epidemic may have significant health, social, and economic impacts. Objective: To estimate the mean change in state-level COVID-19 epidemic growth before versus after the implementation ...
M. Siedner +6 more
semanticscholar +1 more source
An Economic Forecasting Method Based on the LightGBM-Optimized LSTM and Time-Series Model
Computational Intelligence and Neuroscience, 2021 Stock price prediction is very important in financial decision-making, and it is also the most difficult part of economic forecasting. The factors affecting stock prices are complex and changeable, and stock price fluctuations have a certain degree of ...
Jie-Hua Lv +3 more
semanticscholar +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source