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The influence function of semiparametric estimators [PDF]
Quantitative Economics, 2015 There are many economic parameters that depend on nonparametric first steps. Examples include games, dynamic discrete choice, average exact consumer surplus, and treatment effects. Often estimators of these parameters are asymptotically equivalent to a sample average of an object referred to as the influence function.
Hidehiko Ichimura, Whitney K. Newey
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Applied Sciences, 2023 In this paper, the numerical micromodulus is derived for the plane stress problem to develop a new insight into the application of bond-based peridynamics.
Yachen You, Siyi Jia
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Generalized Recentered Influence Function Regressions
EconometricsThis paper suggests a generalization of covariate shifts to study distributional impacts on inequality and distributional measures. It builds on the recentered influence function (RIF) regression method, originally designed for location shifts in ...
Javier Alejo +3 more
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The inverse non-stationary problem of identification of defects in an elastic rod [PDF]
INCAS Bulletin, 2021 Non-stationary inverse problems of deformed solid mechanics are among the most underexplored due to, inter alia, increasing dimension of non-stationary problems per unit as compared with stationary and static problems, as well as necessity to consider ...
Grigory V. FEDOTENKOV +3 more
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Two variants of M split estimation – similarities and differences [PDF]
Advances in Geodesy and Geoinformation, 2022 M split estimation is a novel method developed to process observation sets that include two (or more) observation aggregations. The main objective of the method is to estimate the location parameters of each aggregation without any preliminary assumption
Patrycja Wyszkowska, Robert Duchnowski
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Land Subsidence Estimation for Aquifer Drainage Induced by Underground Mining
Energies, 2021 Land subsidence caused by groundwater withdrawal induced by mining is a relatively unknown phenomenon. This is primarily due to the small scale of such movements compared to the land subsidence caused by deposit extraction. Nonetheless, the environmental
Artur Guzy, Wojciech T. Witkowski
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Revisiting the fragility of influence functions
Neural Networks, 2023 11 pages, 5 figures, published in Neural ...
Jacob R. Epifano +3 more
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Določitev primernega geodetskega datuma z uporabo robustnih statističnih metod ( = Definition of appropriate geodetic datum using robust statistical methods) [PDF]
Geodetski Vestnik, 2016 The correct determination of geodetic datum is an obligatory condition for the proper determination of the point displacements. There are various methods of deformation analysis focused on the right identification of stable points, which ...
Aleš Marjetič, Klemen Kregar
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The recentered influence function and unidimensional poverty measurement [PDF]
, 2021 I discuss the applicability of the recentered influence function (RIF) to the analysis of poverty differentials between distributions (regression-based decomposition into composition and income structure effects).
Gradín, Carlos
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AN INFLUENCE FUNCTIONAL FOR ULTRASOFT QCD [PDF]
Strong and Electroweak Matter 2002, 2003 A real-time path integral for ultrasoft QCD is formulated. It exhibits a Feynman's influence functional. The statistical properties of the theory and the gauge symmetry are explicit. The correspondence is established with the alternative version, where a noise term enters a transport equation.
Iancu, Edmond, Guérin, Françoise
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