Results 1 to 10 of about 26,575,973 (337)
GDP Forecasting: Machine Learning, Linear or Autoregression?
Frontiers in Artificial Intelligence, 2021 This paper compares the predictive power of different models to forecast the real U.S. GDP. Using quarterly data from 1976 to 2020, we find that the machine learning K-Nearest Neighbour (KNN) model captures the self-predictive ability of the U.S. GDP and
Giovanni Maccarrone +3 more
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performance: An R Package for Assessment, Comparison and Testing of Statistical Models
Journal of Open Source Software, 2021 A crucial part of statistical analysis is evaluating a model's quality and fit, or performance. During analysis, especially with regression models, investigating the fit of models to data also often involves selecting the best fitting model amongst many ...
D. Lüdecke +4 more
semanticscholar +1 more source
Growth prediction of under-5 children using statistical models for eastern region of India
Indian Journal of Community Medicine, 2022 Background: Percentile curves are often used to assess variances in children's growth pattern. This study is aimed at explaining effect of the respondents' sociodemographic characteristics on under-5 children's birth weight and identifying most suitable ...
Pradyuman Verma, Jang Bahadur Prasad
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pyhf: pure-Python implementation of HistFactory statistical models
Journal of Open Source Software, 2021 Statistical analysis of High Energy Physics (HEP) data relies on quantifying the compatibility of observed collision events with theoretical predictions.
Lukas Heinrich +3 more
semanticscholar +1 more source
Quantitative indicators in function of companies creditworthiness assesment [PDF]
Ekonomski Pogledi, 2017 Companies business in todays modern market-economic conditions is extremely turbulent and requires constatn adaptation to these conditions. Constant techological and economic inovations, especialy in adequately cash flow management as well as acquiring ...
Ilić Miloš, Saković Dušan
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see: An R Package for Visualizing Statistical Models
Journal of Open Source Software, 2021 The see package is embedded in the easystats ecosystem, a collection of R packages that operate in synergy to provide a consistent and intuitive syntax when working with statistical models in the R programming language (R Core Team, 2021). Most easystats
D. Lüdecke +5 more
semanticscholar +1 more source
Review of Probabilistic Risk Assessment Models for Ship Collisions with Structures
Applied Sciences, 2022 Researchers have always been concerned about collision risks between ships and structures on busy waterways, as the consequences can be catastrophic.
Fangliang Xiao, Yong Ma, Bo Wu
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Extracting, Computing and Exploring the Parameters of Statistical Models using R
Journal of Open Source Software, 2020 The recent growth of data science is partly fueled by the ever-growing amount of data and the joint important developments in statistical modeling, with new and powerful models and frameworks becoming accessible to users.
D. Lüdecke +3 more
semanticscholar +1 more source
Determination of the Conditional-Constant Component of the Bank’s Current Liabilities [PDF]
Экономика региона, 2016 The article deals with the questions of the definition of the semi-constant component of current liabilities of a bank. The purpose of this article is to develop a scientific and methodological approach to determine the semi-constant component of the ...
Anatoly Pavlovich Vozhzhov +2 more
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Manual for Theoretical Chemistry, 2021 Professor Chen Ning Yang has made seminal and influential contributions in many different areas in theoretical physics. This talk focuses on his contributions in statistical mechanics, a field in which Professor Yang has held a continual interest for ...
Uwe-Jens Wiese, Albert Einstein
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