scholarly journals Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors

Author(s):  
Barış Soybilgen ◽  
Ege Yazgan
1954 ◽  
Author(s):  
J. P. Guilford ◽  
Paul R. Christensen ◽  
Nicholas A. Bond
Keyword(s):  

1962 ◽  
Vol 18 (4) ◽  
pp. 33-39
Author(s):  
William C. Norby ◽  
Herbert E. Neil

2020 ◽  
Vol 20 (4) ◽  
pp. 1-25
Author(s):  
Kostas Kolomvatsos ◽  
Christos Anagnostopoulos

Author(s):  
Chanhyun Kang ◽  
Noseong Park ◽  
B. Aditya Prakash ◽  
Edoardo Serra ◽  
V. S. Subrahmanian
Keyword(s):  

Author(s):  
William T. Miller ◽  
Christina A. Campbell ◽  
Jordan Papp ◽  
Ebony Ruhland

Scholars have presented concerns about potential for racial bias in risk assessments as a result of the inclusion of static factors, such as criminal history in risk assessments. The purpose of this study was to examine the extent to which static factors add incremental validity to the dynamic factors in criminogenic risk assessments. This study examined the Youth Level of Service/Case Management Inventory (YLS/CMI) in a sample of 1,270 youth offenders from a medium-sized Midwestern county between June 2004 and November 2013. Logistic regression was used to determine the predictive validity of the YLS/CMI and the individual contribution of static and dynamic domains of the assessment. Results indicated that the static domain differentially predicted recidivism for Black and White youth. In particular, the static domain was a significant predictor of recidivism for White youth, but this was not the case for Black youth. The dynamic domain significantly predicted recidivism for both Black and White offenders, and static risk factors improved prediction of recidivism for White youth, but not for Black youth.


Author(s):  
Partha Sarathi Datta

In many parts of the world, freshwater crisis is largely due to increasing water consumption and pollution by rapidly growing population and aspirations for economic development, but, ascribed usually to the climate. However, limited understanding and knowledge gaps in the factors controlling climate and uncertainties in the climate models are unable to assess the probable impacts on water availability in tropical regions. In this context, review of ensemble models on δ18O and δD in rainfall and groundwater, 3H- and 14C- ages of groundwater and 14C- age of lakes sediments helped to reconstruct palaeoclimate and long-term recharge in the North-west India; and predict future groundwater challenge. The annual mean temperature trend indicates both warming/cooling in different parts of India in the past and during 1901–2010. Neither the GCMs (Global Climate Models) nor the observational record indicates any significant change/increase in temperature and rainfall over the last century, and climate change during the last 1200 yrs BP. In much of the North-West region, deep groundwater renewal occurred from past humid climate, and shallow groundwater renewal from limited modern recharge over the past decades. To make water management to be more responsive to climate change, the gaps in the science of climate change need to be bridged.


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