Search results for "Regression"
showing 10 items of 2619 documents
Iteratively reweighted least squares in crystal structure refinements
2011
The use of robust techniques in crystal structure multipole refinements of small molecules as an alternative to the commonly adopted weighted least squares is presented and discussed. As is well known, the main disadvantage of least-squares fitting is its sensitivity to outliers. The elimination from the data set of the most aberrant reflections (due to both experimental errors and incompleteness of the model) is an effective practice that could yield satisfactory results, but it is often complicated in the presence of a great number of bad data points, whose one-by-one elimination could become unattainable. This problem can be circumvented by means of a robust least-squares regression that…
Data fusion analysis applied to different climate change models: an application to the energy consumptions of a building office
2018
The paper aims to achieve the modelling of climate change effects on heating and cooling in the building sector, through the use of the available Intergovernmental Panel on Climate Change forecasted data. Data from several different climate models will be fused with regards to mean air temperature, wind speed and horizontal solar radiation. Several climatic models data were analyzed ranging from January 2006 to December 2100. Rather than considering each model in isolation, we propose a data fusion approach for providing a robust combined model for morphing an existing weather data file. The final aim is simulating future energy use for heating and cooling of a reference building as a conse…
A Novel Time Series Kernel for Sequences Generated by LTI Systems
2017
The recent introduction of Hankelets to describe time series relies on the assumption that the time series has been generated by a vector autoregressive model (VAR) of order p. The success of Hankelet-based time series representations prevalently in nearest neighbor classifiers poses questions about if and how this representation can be used in kernel machines without the usual adoption of mid-level representations (such as codebook-based representations). It is also of interest to investigate how this representation relates to probabilistic approaches for time series modeling, and which characteristics of the VAR model a Hankelet can capture. This paper aims at filling these gaps by: deriv…
"Riconosciuta l’immanenza della parte civile in un caso di regressione del procedimento con celebrazione di «patteggiamento anticipato».
2010
La questione affrontata attiene all' immanenza della costituzione della parte civile in un'ipotesi di regressione del procedimento. Analizzati i principali contributi dottrinali e giurisprudenziali sul tema, si pone attenzione alle conseguenze invalidanti delle nullità che inibiscono una corretta instaurazione della dialettica processuale.
An adaptive algorithm for determining the optimal degree of regression in constrained mock-Chebyshev least squares quadrature
2022
In this paper we develop an adaptive algorithm for determining the optimal degree of regression in the constrained mock-Chebyshev least-squares interpolation of an analytic function to obtain quadrature formulas with high degree of exactness and accuracy from equispaced nodes. We numerically prove the effectiveness of the proposed algorithm by several examples.
A spatially-filtered mixture of beta-convergence regressions for European regions, 1980-2002
2009
A Generalized Missing-Indicator Approach to Regression with Imputed Covariates
2011
We consider estimation of a linear regression model using data where some covariate values are missing but imputations are available to fill in the missing values. This situation generates a tradeoff between bias and precision when estimating the regression parameters of interest. Using only the subsample of complete observations does not cause bias but may imply a substantial loss of precision because the complete cases may be too few. On the other hand, filling in the missing values with imputations may cause bias. We provide the new Stata command gmi, which handles such tradeoff by using either model reduction or Bayesian model averaging techniques in the context of the generalized miss…
L'effetto di Montalbano sui flussi turistici nei luoghi letterari e televisivi
2015
Da alcuni anni vari enti regionali erogano a fondo perduto a favore di produzioni cinematografiche o televisive nei loro territori, talvolta attraverso le c.d. Film Commission. Di solito cio viene giustificato dall’impatto occupazionale delle riprese e da quello indotto sul cine-turismo. Obiettivo di questo saggio e misurare l’impatto dei telefilm sui flussi turistici delle localita dove essi sono stati girati, al fine di valutare se tali erogazioni a fondo perduto siano opportune; cio attraverso un’indagine empirica (nel periodo 1982-2013) sull’incremento turistico indotto dalle serie TV con il commissario Montalbano. Confrontando gli arrivi nella provincia di Ragusa, sede delle riprese te…
Using differential geometric LARS algorithm to study the expression profile of a sample of patients with latex-fruit syndrome
2011
Natural rubber latex IgE-mediated hypersensitivity is one of the most important health problems in allergy during recent years. The prevalence of individuals allergic to latex shows an associated hypersensitivity to some plant-derived foods, especially freshly consumed fruit. This association of latex allergy and allergy to plant-derived foods is called latex-fruit syndrome. The aim of this study is to use the differential geometric generalization of the LARS algorithm to identify candidate genes that may be associated with the pathogenesis of allergy to latex or vegetable.