A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR). - ict-bigdatalab/awesome-pretrained-models-for-information-retrieval
evaluating the long-term and short-term cointegration correlations between the variables and interpreting the Error Correction Model (ECM) is possible. Contrary to cointegration tests, lags can be added to the ARDL model, regardless of whether the variables are...
This research considers an extended energy demand model with a finite mixture model that is incorporated to account for the heterogeneous nexus between inf... EZ Wang,CC Lee - 《International Review of Economics & Finance》 被引量: 0发表: 2022年 Growth, Technological Change, and ICT Diffusion:...
The 2nd International Conference on Trends in Sustainable Computing and Machine Intelligence [ICTSM 2024] welcomes papers on broad aspects of AI, machine learning and sustainable computing that constitute advances in various real-time applications. ICTSM 2024 aims to report the novel results achieved ...
Cass D (1965) Optimum growth in an aggregative model of capital accumulation. Rev Econ Stud 32:233–240 ArticleGoogle Scholar Cette G, Devillard A, Spiezia V (2022) Growth factors in developed countries: a 1960–2019 growth accounting decomposition. Comp Econ Stud 64:159–185.https://doi....
The empirical model (1) can therefore be presented as:(1)Transparencyit = β1 ICT_Investmentit + β2 ICT_Tradeit + β3 Xit + Ωt + α + uit + εitwhere Transparency represents the composite real estate transparency index; ICT_Investment logarithm of capital investment in ICT per capita...
特色: Exam Strategy provides crucial information about the HKDSE ICT Examination, preparation tips, past paper analysis and practical skills for tackling the two sections in Paper 1. 6 sets of Mock Papers for Section A and 6 sets of Mock Papers for Section B are written in accordanc...
The most notable advantage of this MMQR model is that it can capture the heterogeneity and distributional variations between the response and explanatory variables at different quantiles, which many other methods fail to capture. Therefore, we stand out from other papers (Hassan et al., 2020; ...
With panel data and continuous variables at hand, the dynamic estimations will be carried out in a framework that mirrors that of a production function model. Particular attention is paid to the degree of connectivity, persistence and to variations across different groups of firms (size-class and...
2022, Science of the Total Environment Show abstract Does China's outward direct investment improve green total factor productivity in the “Belt and Road” countries? Evidence from dynamic threshold panel model analysis 2020, Journal of Environmental Management Show abstract Endogenous dynamics between ...