Narrow search
Showing 1 - 10 of 563
Cover Image
A joint detection-estimation framework for analysing within-subject fMRI data
Vincent, Thomas; Risser, Laurent; Ciuciu, Pierre; … - Université Paris-Dauphine (Paris IX) - 2010
Magnetic Resonance Imaging (fMRI) data. Such data are usually acquired during sensory or cognitive experiments that aims at … experimental design manipulates; second, estimating the underlying activation dynamics. The first issue is usually addressed in the … well-adapted framework to treat spatially unsmoothed real fMRI data both in the 3D acquisition volume and on the cortical …
Persistent link: https://www.econbiz.de/10010707990
Cover Image
Dynamic GSCA (Generalized Structured Component Analysis) with Applications to the Analysis of Effective Connectivity in Functional Neuroimaging Data
Jung, Kwanghee; Takane, Yoshio; Hwang, Heungsun; … - In: Psychometrika 77 (2012) 4, pp. 827-848
We propose a new method of structural equation modeling (SEM) for longitudinal and time series data, named Dynamic GSCA (Generalized Structured Component Analysis). The proposed method extends the original GSCA by incorporating a multivariate autoregressive model to account for the dynamic...
Persistent link: https://www.econbiz.de/10010848131
Cover Image
Resampling-based information criteria for best-subset regression
Reiss, Philip; Huang, Lei; Cavanaugh, Joseph; Roy, Amy - In: Annals of the Institute of Statistical Mathematics 64 (2012) 6, pp. 1161-1186
When a linear model is chosen by searching for the best subset among a set of candidate predictors, a fixed penalty such as that imposed by the Akaike information criterion may penalize model complexity inadequately, leading to biased model selection. We study resampling-based information...
Persistent link: https://www.econbiz.de/10010848649
Cover Image
A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris
Bresson, Georges; Hsiao, Cheng - In: AStA Advances in Statistical Analysis 95 (2011) 4, pp. 501-529
Persistent link: https://www.econbiz.de/10009396970
Cover Image
Ill-Posed Inverse Problems in Economics
Horowitz, Joel L. - In: Annual Review of Economics 6 (2014) 1, pp. 21-51
A parameter of an econometric model is identified if there is a one-to-one or many-to-one mapping from the population distribution of the available data to the parameter. Often, this mapping is obtained by inverting a mapping from the parameter to the population distribution. If the inverse...
Persistent link: https://www.econbiz.de/10010886200
Cover Image
Nonparametric estimation with aggregated data
Linton, Oliver; Whang, Yoon-Jae - London School of Economics (LSE) - 2000
We introduce a kernel-based estimator of the density function and regression function for data that have been grouped into family totals. We allow for a common intra-family component but require that observations from different families be in dependent. We establish consistency and asymptotic...
Persistent link: https://www.econbiz.de/10010928627
Cover Image
DEVELOPMENT OF DIRECT METHODS OF DATA INVERSION IN HELIUM ATOM SCATTERING
SHUTTLEWORTH, I. G. - In: Surface Review and Letters (SRL) 14 (2007) 02, pp. 321-327
The problem of diffraction pattern deconvolution in Helium Atom Scattering (HAS) has been solved directly within the …
Persistent link: https://www.econbiz.de/10005080637
Cover Image
Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution
Wu, Ximing; Perloff, Jeffrey M. - Institute for Research on Labor and Employment (IRLE), … - 2007
This study proposes an information-theoretic deconvolution method to approximate the entire distribution of individual … flexibility of the proposed deconvolution estimator. This method is applied to data from the U.S. Job Training Partnership Act …
Persistent link: https://www.econbiz.de/10010538135
Cover Image
Statistical inference for inverse problems
Bissantz, Nicolai; Holzmann, Hajo - Institut für Wirtschafts- und Sozialstatistik, … - 2007
deconvolution and the backward heat equation. Further, we discuss the construction of certain hypothesis tests, in particular …
Persistent link: https://www.econbiz.de/10009216860
Cover Image
Confidence bands for inverse regression models with application to gel electrophoresis
Birke, Melanie; Bissantz, Nicolai; Holzmann, Hajo - Institut für Wirtschafts- und Sozialstatistik, … - 2008
We construct uniform confidence bands for the regression function in inverse, homoscedastic regression models with convolution-type operators. Here, the convolution is between two non-periodic functions on the whole real line rather than between two period functions on a compact interval, since...
Persistent link: https://www.econbiz.de/10009216879