Literatura académica sobre el tema "Scalar-On-Function"
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Artículos de revistas sobre el tema "Scalar-On-Function"
Reiss, Philip T., Jeff Goldsmith, Han Lin Shang y R. Todd Ogden. "Methods for Scalar-on-Function Regression". International Statistical Review 85, n.º 2 (23 de febrero de 2016): 228–49. http://dx.doi.org/10.1111/insr.12163.
Texto completoFan, Zhaohu y Matthew Reimherr. "High-dimensional adaptive function-on-scalar regression". Econometrics and Statistics 1 (enero de 2017): 167–83. http://dx.doi.org/10.1016/j.ecosta.2016.08.001.
Texto completoChen, Yakuan, Jeff Goldsmith y R. Todd Ogden. "Variable selection in function-on-scalar regression". Stat 5, n.º 1 (2016): 88–101. http://dx.doi.org/10.1002/sta4.106.
Texto completoGuo, X., J. Hua y H. Qin. "Scalar-function-driven editing on point set surfaces". IEEE Computer Graphics and Applications 24, n.º 4 (julio de 2004): 43–52. http://dx.doi.org/10.1109/mcg.2004.16.
Texto completoBauer, Alexander, Fabian Scheipl, Helmut Küchenhoff y Alice-Agnes Gabriel. "An introduction to semiparametric function-on-scalar regression". Statistical Modelling 18, n.º 3-4 (18 de enero de 2018): 346–64. http://dx.doi.org/10.1177/1471082x17748034.
Texto completoWang, Xu, Jiaqing Kou y Weiwei Zhang. "Unsteady aerodynamic modeling based on fuzzy scalar radial basis function neural networks". Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, n.º 14 (19 de marzo de 2019): 5107–21. http://dx.doi.org/10.1177/0954410019836906.
Texto completoReiss, Philip T., David L. Miller, Pei-Shien Wu y Wen-Yu Hua. "Penalized Nonparametric Scalar-on-Function Regression via Principal Coordinates". Journal of Computational and Graphical Statistics 26, n.º 3 (11 de abril de 2017): 569–78. http://dx.doi.org/10.1080/10618600.2016.1217227.
Texto completoGoldsmith, Jeff y Fabian Scheipl. "Estimator selection and combination in scalar-on-function regression". Computational Statistics & Data Analysis 70 (febrero de 2014): 362–72. http://dx.doi.org/10.1016/j.csda.2013.10.009.
Texto completoCiarleglio, Adam y R. Todd Ogden. "Wavelet-based scalar-on-function finite mixture regression models". Computational Statistics & Data Analysis 93 (enero de 2016): 86–96. http://dx.doi.org/10.1016/j.csda.2014.11.017.
Texto completoYang, Hojin, Veerabhadran Baladandayuthapani, Arvind U. K. Rao y Jeffrey S. Morris. "Quantile Function on Scalar Regression Analysis for Distributional Data". Journal of the American Statistical Association 115, n.º 529 (21 de junio de 2019): 90–106. http://dx.doi.org/10.1080/01621459.2019.1609969.
Texto completoTesis sobre el tema "Scalar-On-Function"
Gnanguenon, guesse Girault. "Modélisation et visualisation des liens entre cinétiques de variables agro-environnementales et qualité des produits dans une approche parcimonieuse et structurée". Electronic Thesis or Diss., Montpellier, 2021. http://www.theses.fr/2021MONTS139.
Texto completoThe development of digital agriculture allows to observe at high frequency the dynamics of production according to the climate. Data from these dynamic observations can be considered as functional data. To analyze this new type of data, it is necessary to extend the usual statistical tools to the functional case or develop new ones.In this thesis, we have proposed a new approach (SpiceFP: Sparse and Structured Procedure to Identify Combined Effects of Functional Predictors) to explain the variations of a scalar response variable by two or three functional predictors in a context of joint influence of these predictors. Particular attention was paid to the interpretability of the results through the use of combined interval classes defining a partition of the observation domain of the explanatory factors. Recent developments around LASSO (Least Absolute Shrinkage and Selection Operator) models have been adapted to estimate the areas of influence in the partition via a generalized penalized regression. The approach also integrates a double selection, of models (among the possible partitions) and of variables (areas inside a given partition) based on AIC and BIC information criteria. The methodological description of the approach, its study through simulations as well as a case study based on real data have been presented in chapter 2 of this thesis.The real data used in this thesis were obtained from a vineyard experiment aimed at understanding the impact of climate change on anthcyanins accumulation in berries. Analysis of these data in chapter 3 using SpiceFP and one extension identified a negative impact of morning combinations of low irradiance (lower than about 100 µmol/s/m2 or 45 µmol/s/m2 depending on the advanced-delayed state of the berries) and high temperature (higher than about 25°C). A slight difference associated with overnight temperature occurred between these effects identified in the morning.In chapter 4 of this thesis, we propose an implementation of the proposed approach as an R package. This implementation provides a set of functions allowing to build the class intervals according to linear or logarithmic scales, to transform the functional predictors using the joint class intervals and finally to execute the approach in two or three dimensions. Other functions help to perform post-processing or allow the user to explore other models than those selected by the approach, such as an average of different models.Keywords: Penalized regressions, Interaction, information criteria, scalar-on-function, interpretable coefficients,grapevine microclimate
Ciarleglio, Adam J. "On Wavelet-Based Methods for Scalar-on-Function Regression". Thesis, 2013. https://doi.org/10.7916/D8PN951Q.
Texto completoChou, Chia-Chun y 周佳俊. "3D Movies Office Box Analysis via Function-On-Scalar Regression". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/11594350718416740604.
Texto completo國立中興大學
統計學研究所
104
This paper forecasting method is divided into two parts. Start by using of the film’s box office revenue departments into low, medium, and high class. Each film has their own cast feature: directors, writers, composers, actors to classify into their catogory. Second, we are able to model into function-on-scalar regression. Responses are functional type of movies office box. Construction of the base functions use principal component analysis to establish release dates associated with characteristic function. Explanatory variables which we used are the budgets, a number of cinemas screening, the directors, actors, writers, composers and Metacritic Scores. Finally, we employ the model which we fit to predicted 2016 new film. Fisrt, we need to decide the new film revenue fell low, medium and high class. Second, we able to predict the future box office within 42 days after the new movie release trend to address the problems of investors concern.
Libros sobre el tema "Scalar-On-Function"
Plümmer, Franziska. Rethinking Authority in China’s Border Regime. NL Amsterdam: Amsterdam University Press, 2022. http://dx.doi.org/10.5117/9789463726351.
Texto completoGanguly, Debjani, ed. The Cambridge History of World Literature. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781009064446.
Texto completoHaspelmath, Martin. Negative Indefinite Pronouns. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198235606.003.0008.
Texto completoCapítulos de libros sobre el tema "Scalar-On-Function"
Crainiceanu, Ciprian M., Jeff Goldsmith, Andrew Leroux y Erjia Cui. "Function-on-Scalar Regression". En Functional Data Analysis with R, 143–74. Boca Raton: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003278726-5.
Texto completoCrainiceanu, Ciprian M., Jeff Goldsmith, Andrew Leroux y Erjia Cui. "Scalar-on-Function Regression". En Functional Data Analysis with R, 101–42. Boca Raton: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003278726-4.
Texto completoPumir, A. "On the Three-Point Correlation Function of a Passive Scalar Mixed by a Turbulent Flow". En Fluid Mechanics and Its Applications, 577–80. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5118-4_144.
Texto completoKondratyev, Kirill Y., Vladimir V. Kozoderov y Oleg I. Smokty. "The Effect of Horizontal Inhomogeneities of the Underlying Surface on the Scalar Transfer Function of the Atmospheric". En Remote Sensing of the Earth from Space: Atmospheric Correction, 187–228. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76747-0_6.
Texto completoTucker, Bram. "Mikea, Malagasy, or hunter-gatherers?" En Scale Matters, 179–206. Bielefeld, Germany: transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839460993-009.
Texto completoMiessein, Désiré, Norman J. M. Horing, Godfrey Gumbs y Harry Lenzing. "Numerical Analysis of the Helmholtz Green’s Function for Scalar Wave Propagation Through a Nano-hole on a Plasmonic Layer". En Topics in Applied Physics, 515–32. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93460-6_17.
Texto completoBalogh, Kata y Rainer Osswald. "A Frame-Based Analysis of Verbal Particles in Hungarian". En Language, Cognition, and Mind, 219–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-50200-3_11.
Texto completoIavarone, S., H. Yang, Z. Li, Z. X. Chen y N. Swaminathan. "On the Use of Machine Learning for Subgrid Scale Filtered Density Function Modelling in Large Eddy Simulations of Combustion Systems". En Lecture Notes in Energy, 209–43. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16248-0_8.
Texto completoKokoszka, Piotr. "Scalar-on-function regression". En Introduction to Functional Data Analysis, 45–65. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315117416-4.
Texto completoLukas, Andre. "Scalar products". En The Oxford Linear Algebra for Scientists, 287–301. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198844914.003.0022.
Texto completoActas de conferencias sobre el tema "Scalar-On-Function"
Deb, P. y Pradip Majumdar. "Direct Numerical Simulation of Mixing of a Passive in Decaying Turbulence". En ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-1086.
Texto completoSuzuki, Hiroki, Kouji Nagata, Yasuhiko Sakai y Ryota Ukai. "An Experimental Study on Turbulent Mixing of High-Schmidt-Number Scalar in Grid Turbulence by Means of PIV and PLIF". En ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-21013.
Texto completoClarke, Philip L., Reza Abedi, Bahador Bahmani, Katherine A. Acton y Sarah C. Baxter. "Effect of the Spatial Inhomogeneity of Fracture Strength on Fracture Pattern for Quasi-Brittle Materials". En ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71515.
Texto completoPiatrovich, Siarhei y Haris J. Catrakis. "Multiscale Aspects and Resolution Robustness of Turbulent Scalar Fields and Interfaces". En ASME/JSME 2007 5th Joint Fluids Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/fedsm2007-37093.
Texto completoMoharam, M. G. "Validity of the scalar theory in the design of diffractive optical elements". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.tho3.
Texto completoFontaine, Marie, Velko P. Tzolov, Nicolas Godbout y Suzanne Lacroix. "Limits of the Perturbative Scalar Calculation of Self-Phase Modulation Effects". En Nonlinear Guided Waves and Their Applications. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/nlgw.1995.nsab7.
Texto completoHasan, Md Kamrul, Md Azazul Haque y Rajib Mahamud. "Modeling and Implementation of a Flamelet Based Model With Presumed Shaped Probability Distribution Function Integration in Fortran for Non-Premixed Flame Dynamics". En ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-113566.
Texto completoShaw, Kenneth D. "Vector Versus Scalar Theory of the Double Phase Conjugate Mirror". En Nonlinear Optics. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/nlo.1992.pd14.
Texto completoIsoz, Martin y Marie Plachá. "A Parallel Algorithm for Flux-Based Bounded Scalar Re-distribution". En Topical Problems of Fluid Mechanics 2022. Institute of Thermomechanics of the Czech Academy of Sciences, 2022. http://dx.doi.org/10.14311/tpfm.2022.013.
Texto completoMichopoulos, John G. y Athanasios Iliopoulos. "High Dimensional Full Inverse Characterization of Fractal Volumes". En ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71050.
Texto completoInformes sobre el tema "Scalar-On-Function"
Tanny, Josef, Gabriel Katul, Shabtai Cohen y Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, octubre de 2015. http://dx.doi.org/10.32747/2015.7594402.bard.
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