Results 71 to 80 of about 231,426 (276)
Yield Curve Estimation by Kernel Smoothing Methods [PDF]
We introduce a new method for the estimation of discount functions, yield curves and forward curves from government issued coupon bonds. Our approach is nonparametric and does not assume a particular functional form for the discount function although we ...
C Tanggaard +3 more
core +3 more sources
Moment Restriction-based Econometric Methods: An Overview [PDF]
Moment restriction-based econometric modelling is a broad class which includes the parametric, semiparametric and nonparametric approaches. Moments and conditional moments themselves are nonparametric quantities.
Michael McAleer +2 more
core +3 more sources
PEMILIHAN THRESHOLD OPTIMAL PADA ESTIMATOR REGRESI WAVELET THRESHOLDING DENGAN METODE CROSS VALIDASI
Media Statistika, 2009 If x is a predictor variable and y is a response variable of the regression model y = f (x)+ Î with f is a regression function which not yet been known and Î is independent random variable with mean 0 and variance , hence function f can be estimated ...
Suparti Suparti +2 more
doaj +1 more source
Nonparametric IV estimation of shape-invariant Engel curves [PDF]
, 2003 This paper concerns the identification and estimation of a shape-invariant Engel curve system with endogenous total expenditure. The shape-invariant specification involves a common shift parameter for each demographic group in a pooled system of Engel
Blundell, R., Chen, X., Kristensen, D.
core +1 more source
Advanced Functional Materials, EarlyView.A 3D disease model is developed using customized hyaluronic‐acid‐based hydrogels supplemented with extracellular matrix (ECM) proteins resembling brain ECM properties. Neurons, astrocytes, and tumor cells are used to mimic the native brain surrounding.
Esra Türker +16 more
wiley +1 more source
Advanced Functional Materials, EarlyView.An epi‐intraneural interface is developed through in silico optimization and a novel tridimensional microfabrication pipeline. The device integrates penetrating and epineural contacts on a flexible substrate. Mechanical, electrochemical, and in vivo testing in rat and pig reveal robust implantation, low‐threshold activation, and site‐dependent ...
Federico Ciotti +14 more
wiley +1 more source
Nonparametric estimation by convex programming
, 2009 The problem we concentrate on is as follows: given (1) a convex compact set $X$ in ${\mathbb{R}}^n$, an affine mapping $x\mapsto A(x)$, a parametric family $\{p_{\mu}(\cdot)\}$ of probability densities and (2) $N$ i.i.d.
Juditsky, Anatoli B. +1 more
core +5 more sources
Nonparametric instrumental variable estimation under monotonicity [PDF]
, 2014 The ill-posedness of the inverse problem of recovering a regression function in a nonparametric instrumental variable model leads to estimators that may suffer from a very slow, logarithmic rate of convergence. In this paper, we show that restricting the
Chetverikov, Denis, Wilhelm, Daniel
core +5 more sources
Advanced Healthcare Materials, EarlyView.Hybrid wrinkled topographies coordinate immune, tissue, and bacterial interactions. The surfaces promote osteointegration, tune macrophage polarization, and inhibit biofilm formation, highlighting a multifunctional strategy for next‐generation implant design.
Mohammad Asadi Tokmedash +4 more
wiley +1 more source
Improved nonparametric estimation of the drift in diffusion processes
Учёные записки Казанского университета: Серия Физико-математические науки, 2018 In this paper, we have considered the robust adaptive nonparametric estimation problem for the drift coefficient in diffusion processes. It has been shown that the initial estimation problem can be reduced to the estimation problem in a discrete time ...
E.A. Pchelintsev +2 more
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