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Artykuły w czasopismach na temat "Scalar-On-Function"
Reiss, Philip T., Jeff Goldsmith, Han Lin Shang i R. Todd Ogden. "Methods for Scalar-on-Function Regression". International Statistical Review 85, nr 2 (23.02.2016): 228–49. http://dx.doi.org/10.1111/insr.12163.
Pełny tekst źródłaFan, Zhaohu, i Matthew Reimherr. "High-dimensional adaptive function-on-scalar regression". Econometrics and Statistics 1 (styczeń 2017): 167–83. http://dx.doi.org/10.1016/j.ecosta.2016.08.001.
Pełny tekst źródłaChen, Yakuan, Jeff Goldsmith i R. Todd Ogden. "Variable selection in function-on-scalar regression". Stat 5, nr 1 (2016): 88–101. http://dx.doi.org/10.1002/sta4.106.
Pełny tekst źródłaGuo, X., J. Hua i H. Qin. "Scalar-function-driven editing on point set surfaces". IEEE Computer Graphics and Applications 24, nr 4 (lipiec 2004): 43–52. http://dx.doi.org/10.1109/mcg.2004.16.
Pełny tekst źródłaBauer, Alexander, Fabian Scheipl, Helmut Küchenhoff i Alice-Agnes Gabriel. "An introduction to semiparametric function-on-scalar regression". Statistical Modelling 18, nr 3-4 (18.01.2018): 346–64. http://dx.doi.org/10.1177/1471082x17748034.
Pełny tekst źródłaWang, Xu, Jiaqing Kou i 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, nr 14 (19.03.2019): 5107–21. http://dx.doi.org/10.1177/0954410019836906.
Pełny tekst źródłaReiss, Philip T., David L. Miller, Pei-Shien Wu i Wen-Yu Hua. "Penalized Nonparametric Scalar-on-Function Regression via Principal Coordinates". Journal of Computational and Graphical Statistics 26, nr 3 (11.04.2017): 569–78. http://dx.doi.org/10.1080/10618600.2016.1217227.
Pełny tekst źródłaGoldsmith, Jeff, i Fabian Scheipl. "Estimator selection and combination in scalar-on-function regression". Computational Statistics & Data Analysis 70 (luty 2014): 362–72. http://dx.doi.org/10.1016/j.csda.2013.10.009.
Pełny tekst źródłaCiarleglio, Adam, i R. Todd Ogden. "Wavelet-based scalar-on-function finite mixture regression models". Computational Statistics & Data Analysis 93 (styczeń 2016): 86–96. http://dx.doi.org/10.1016/j.csda.2014.11.017.
Pełny tekst źródłaYang, Hojin, Veerabhadran Baladandayuthapani, Arvind U. K. Rao i Jeffrey S. Morris. "Quantile Function on Scalar Regression Analysis for Distributional Data". Journal of the American Statistical Association 115, nr 529 (21.06.2019): 90–106. http://dx.doi.org/10.1080/01621459.2019.1609969.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaThe 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.
Pełny tekst źródłaChou, Chia-Chun, i 周佳俊. "3D Movies Office Box Analysis via Function-On-Scalar Regression". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/11594350718416740604.
Pełny tekst źródła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.
Książki na temat "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.
Pełny tekst źródłaGanguly, Debjani, red. The Cambridge History of World Literature. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781009064446.
Pełny tekst źródłaHaspelmath, Martin. Negative Indefinite Pronouns. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198235606.003.0008.
Pełny tekst źródłaCzęści książek na temat "Scalar-On-Function"
Crainiceanu, Ciprian M., Jeff Goldsmith, Andrew Leroux i Erjia Cui. "Function-on-Scalar Regression". W Functional Data Analysis with R, 143–74. Boca Raton: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003278726-5.
Pełny tekst źródłaCrainiceanu, Ciprian M., Jeff Goldsmith, Andrew Leroux i Erjia Cui. "Scalar-on-Function Regression". W Functional Data Analysis with R, 101–42. Boca Raton: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003278726-4.
Pełny tekst źródłaPumir, A. "On the Three-Point Correlation Function of a Passive Scalar Mixed by a Turbulent Flow". W Fluid Mechanics and Its Applications, 577–80. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5118-4_144.
Pełny tekst źródłaKondratyev, Kirill Y., Vladimir V. Kozoderov i Oleg I. Smokty. "The Effect of Horizontal Inhomogeneities of the Underlying Surface on the Scalar Transfer Function of the Atmospheric". W 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.
Pełny tekst źródłaTucker, Bram. "Mikea, Malagasy, or hunter-gatherers?" W Scale Matters, 179–206. Bielefeld, Germany: transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839460993-009.
Pełny tekst źródłaMiessein, Désiré, Norman J. M. Horing, Godfrey Gumbs i Harry Lenzing. "Numerical Analysis of the Helmholtz Green’s Function for Scalar Wave Propagation Through a Nano-hole on a Plasmonic Layer". W Topics in Applied Physics, 515–32. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93460-6_17.
Pełny tekst źródłaBalogh, Kata, i Rainer Osswald. "A Frame-Based Analysis of Verbal Particles in Hungarian". W Language, Cognition, and Mind, 219–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-50200-3_11.
Pełny tekst źródłaIavarone, S., H. Yang, Z. Li, Z. X. Chen i N. Swaminathan. "On the Use of Machine Learning for Subgrid Scale Filtered Density Function Modelling in Large Eddy Simulations of Combustion Systems". W Lecture Notes in Energy, 209–43. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16248-0_8.
Pełny tekst źródłaKokoszka, Piotr. "Scalar-on-function regression". W Introduction to Functional Data Analysis, 45–65. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315117416-4.
Pełny tekst źródłaLukas, Andre. "Scalar products". W The Oxford Linear Algebra for Scientists, 287–301. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198844914.003.0022.
Pełny tekst źródłaStreszczenia konferencji na temat "Scalar-On-Function"
Deb, P., i Pradip Majumdar. "Direct Numerical Simulation of Mixing of a Passive in Decaying Turbulence". W ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-1086.
Pełny tekst źródłaSuzuki, Hiroki, Kouji Nagata, Yasuhiko Sakai i Ryota Ukai. "An Experimental Study on Turbulent Mixing of High-Schmidt-Number Scalar in Grid Turbulence by Means of PIV and PLIF". W ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-21013.
Pełny tekst źródłaClarke, Philip L., Reza Abedi, Bahador Bahmani, Katherine A. Acton i Sarah C. Baxter. "Effect of the Spatial Inhomogeneity of Fracture Strength on Fracture Pattern for Quasi-Brittle Materials". W ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71515.
Pełny tekst źródłaPiatrovich, Siarhei, i Haris J. Catrakis. "Multiscale Aspects and Resolution Robustness of Turbulent Scalar Fields and Interfaces". W ASME/JSME 2007 5th Joint Fluids Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/fedsm2007-37093.
Pełny tekst źródłaMoharam, M. G. "Validity of the scalar theory in the design of diffractive optical elements". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.tho3.
Pełny tekst źródłaFontaine, Marie, Velko P. Tzolov, Nicolas Godbout i Suzanne Lacroix. "Limits of the Perturbative Scalar Calculation of Self-Phase Modulation Effects". W Nonlinear Guided Waves and Their Applications. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/nlgw.1995.nsab7.
Pełny tekst źródłaHasan, Md Kamrul, Md Azazul Haque i Rajib Mahamud. "Modeling and Implementation of a Flamelet Based Model With Presumed Shaped Probability Distribution Function Integration in Fortran for Non-Premixed Flame Dynamics". W ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-113566.
Pełny tekst źródłaShaw, Kenneth D. "Vector Versus Scalar Theory of the Double Phase Conjugate Mirror". W Nonlinear Optics. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/nlo.1992.pd14.
Pełny tekst źródłaIsoz, Martin, i Marie Plachá. "A Parallel Algorithm for Flux-Based Bounded Scalar Re-distribution". W 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.
Pełny tekst źródłaMichopoulos, John G., i Athanasios Iliopoulos. "High Dimensional Full Inverse Characterization of Fractal Volumes". W 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.
Pełny tekst źródłaRaporty organizacyjne na temat "Scalar-On-Function"
Tanny, Josef, Gabriel Katul, Shabtai Cohen i Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, październik 2015. http://dx.doi.org/10.32747/2015.7594402.bard.
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