Zobrazeno 1 - 10
of 24 633
pro vyhledávání: '"Variable selection"'
Autor:
Bryan O. Nyawanda, Sammy Khagayi, Eric Ochomo, Godfrey Bigogo, Simon Kariuki, Stephen Munga, Penelope Vounatsou
Publikováno v:
International Journal of Health Geographics, Vol 23, Iss 1, Pp 1-15 (2024)
Abstract Background The burden of malaria in Kenya was showing a declining trend, but appears to have reached a plateau in recent years. This study estimated changes in the geographical distribution of malaria parasite risk in the country between the
Externí odkaz:
https://doaj.org/article/5b01956c409c4f91b99c2ebbfe608145
Akademický článek
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Autor:
Georg Heinze, Mark Baillie, Lara Lusa, Willi Sauerbrei, Carsten Oliver Schmidt, Frank E. Harrell, Marianne Huebner, on behalf of TG2 and TG3 of the STRATOS initiative
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Statistical regression models are used for predicting outcomes based on the values of some predictor variables or for describing the association of an outcome with predictors. With a data set at hand, a regression model can be easily fit wit
Externí odkaz:
https://doaj.org/article/35d89449aa4d48d6b4d27c06c91e3ec0
Autor:
Kelvyn Bladen, D. Richard Cutler
Publikováno v:
Electronic Research Archive, Vol 32, Iss 7, Pp 4495-4514 (2024)
Permutation techniques have been used extensively in machine learning algorithms for evaluating variable importance. In ordinary regression, however, variables are often removed to gauge their importance. In this paper, we compared the results for pe
Externí odkaz:
https://doaj.org/article/c8e557e7ede943be99dbc1d8a1f2a560
Autor:
Hyemin Han
Publikováno v:
Stats, Vol 7, Iss 3, Pp 732-744 (2024)
Methodological experts suggest that psychological and educational researchers should employ appropriate methods for data-driven model exploration, such as Bayesian Model Averaging and regularized regression, instead of conventional hypothesis-driven
Externí odkaz:
https://doaj.org/article/ba6274cebfed4f5fbe37c1a4cc61b986
Autor:
黄文琦(HUANG Wenqi), 梁凌宇(LIANG Lingyu), 王鑫(WANG Xin), 赵翔宇(ZHAO Xiangyu), 宗珂(ZONG Ke), 孙凌云(SUN Lingyun)
Publikováno v:
Zhejiang Daxue xuebao. Lixue ban, Vol 51, Iss 4, Pp 483-491 (2024)
Accurate and effective load forecasting is very important for real-time operation and dispatching of power systems. In this paper, a prediction model that incorporates variable selection and sparse Transformer is proposed. Static and temporal variabl
Externí odkaz:
https://doaj.org/article/a02dc40040054c6fb9569a2fbf8bc7cd
Publikováno v:
Methodology, Vol 20, Iss 2, Pp 121-143 (2024)
Identifying significant predictors of behavioral outcomes is of great interest in many psychological studies. Lasso regression, as an alternative to stepwise regression for variable selection, has started gaining traction among psychologists. Yet, fu
Externí odkaz:
https://doaj.org/article/f4399274a5db42f4bcbc45905202287e
Autor:
Juthamat Wanfueangfu, Jetsada Posom, Duchdoune Teerasukaporn, Panuwat Supprung, Jomjai Peerapattana
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e39838- (2024)
The tensile strength (TS) of compacted ribbon is a critical quality attribute in the roller compaction process that impacts the quality of the finished product. This study investigated the use of Near Infrared Hyperspectral Imaging Spectroscopy (NIR-
Externí odkaz:
https://doaj.org/article/f3f379ad4a834a2ba03398d2d9f96898
Autor:
Samuel A. Cushman, Zaneta M. Kaszta, Patrick Burns, Christopher R. Hakkenberg, Patrick Jantz, David W. Macdonald, Jedediah F. Brodie, Mairin C.M. Deith, Scott Goetz
Publikováno v:
Ecological Informatics, Vol 83, Iss , Pp 102832- (2024)
Species distribution modeling (SDM) is a fundamental tool in theoretical and applied ecology. However, relatively little is known about the performance of different approaches for scale optimization, model selection, and algorithmic prediction in the
Externí odkaz:
https://doaj.org/article/7093467999ae46dc91786eb88bf3baa3
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
IntroductionThe primary objective of this study was to identify variables that significantly influence the implementation of math Response to Intervention (RTI) at the school level, utilizing the ECLS-K: 2011 dataset.MethodsDue to missing values in t
Externí odkaz:
https://doaj.org/article/7e20c6740a264dbbb8d1c719754788df