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121.
Francesca Bruno Fedele Greco Massimo Ventrucci 《Statistical Methods and Applications》2016,25(1):75-88
Methods to perform regression on compositional covariates have recently been proposed using isometric log-ratios (ilr) representation of compositional parts. This approach consists of first applying standard regression on ilr coordinates and second, transforming the estimated ilr coefficients into their contrast log-ratio counterparts. This gives easy-to-interpret parameters indicating the relative effect of each compositional part. In this work we present an extension of this framework, where compositional covariate effects are allowed to be smooth in the ilr domain. This is achieved by fitting a smooth function over the multidimensional ilr space, using Bayesian P-splines. Smoothness is achieved by assuming random walk priors on spline coefficients in a hierarchical Bayesian framework. The proposed methodology is applied to spatial data from an ecological survey on a gypsum outcrop located in the Emilia Romagna Region, Italy. 相似文献
122.
Mahdi Rasekhi Rahim Chinipardaz Sayed Mohammad Reza Alavi 《Statistical Methods and Applications》2016,25(3):375-394
The skew normal distribution of Azzalini (Scand J Stat 12:171–178, 1985) has been found suitable for unimodal density but with some skewness present. Through this article, we introduce a flexible extension of the Azzalini (Scand J Stat 12:171–178, 1985) skew normal distribution based on a symmetric component normal distribution (Gui et al. in J Stat Theory Appl 12(1):55–66, 2013). The proposed model can efficiently capture the bimodality, skewness and kurtosis criteria and heavy-tail property. The paper presents various basic properties of this family of distributions and provides two stochastic representations which are useful for obtaining theoretical properties and to simulate from the distribution. Further, maximum likelihood estimation of the parameters is studied numerically by simulation and the distribution is investigated by carrying out comparative fitting of three real datasets. 相似文献
123.
This paper proposes a new factor rotation for the context of functional principal components analysis. This rotation seeks to re-express a functional subspace in terms of directions of decreasing smoothness as represented by a generalized smoothing metric. The rotation can be implemented simply and we show on two examples that this rotation can improve the interpretability of the leading components. 相似文献
124.
This paper introduces a finite mixture of canonical fundamental skew \(t\) (CFUST) distributions for a model-based approach to clustering where the clusters are asymmetric and possibly long-tailed (in: Lee and McLachlan, arXiv:1401.8182 [statME], 2014b). The family of CFUST distributions includes the restricted multivariate skew \(t\) and unrestricted multivariate skew \(t\) distributions as special cases. In recent years, a few versions of the multivariate skew \(t\) (MST) mixture model have been put forward, together with various EM-type algorithms for parameter estimation. These formulations adopted either a restricted or unrestricted characterization for their MST densities. In this paper, we examine a natural generalization of these developments, employing the CFUST distribution as the parametric family for the component distributions, and point out that the restricted and unrestricted characterizations can be unified under this general formulation. We show that an exact implementation of the EM algorithm can be achieved for the CFUST distribution and mixtures of this distribution, and present some new analytical results for a conditional expectation involved in the E-step. 相似文献
125.
Estimation of the time-average variance constant (TAVC) of a stationary process plays a fundamental role in statistical inference for the mean of a stochastic process. Wu (2009) proposed an efficient algorithm to recursively compute the TAVC with \(O(1)\) memory and computational complexity. In this paper, we propose two new recursive TAVC estimators that can compute TAVC estimate with \(O(1)\) computational complexity. One of them is uniformly better than Wu’s estimator in terms of asymptotic mean squared error (MSE) at a cost of slightly higher memory complexity. The other preserves the \(O(1)\) memory complexity and is better then Wu’s estimator in most situations. Moreover, the first estimator is nearly optimal in the sense that its asymptotic MSE is \(2^{10/3}3^{-2} \fallingdotseq 1.12\) times that of the optimal off-line TAVC estimator. 相似文献
126.
Both approximate Bayesian computation (ABC) and composite likelihood methods are useful for Bayesian and frequentist inference, respectively, when the likelihood function is intractable. We propose to use composite likelihood score functions as summary statistics in ABC in order to obtain accurate approximations to the posterior distribution. This is motivated by the use of the score function of the full likelihood, and extended to general unbiased estimating functions in complex models. Moreover, we show that if the composite score is suitably standardised, the resulting ABC procedure is invariant to reparameterisations and automatically adjusts the curvature of the composite likelihood, and of the corresponding posterior distribution. The method is illustrated through examples with simulated data, and an application to modelling of spatial extreme rainfall data is discussed. 相似文献
127.
In analyzing interval censored data, a non-parametric estimator is often desired due to difficulties in assessing model fits. Because of this, the non-parametric maximum likelihood estimator (NPMLE) is often the default estimator. However, the estimates for values of interest of the survival function, such as the quantiles, have very large standard errors due to the jagged form of the estimator. By forcing the estimator to be constrained to the class of log concave functions, the estimator is ensured to have a smooth survival estimate which has much better operating characteristics than the unconstrained NPMLE, without needing to specify a parametric family or smoothing parameter. In this paper, we first prove that the likelihood can be maximized under a finite set of parameters under mild conditions, although the log likelihood function is not strictly concave. We then present an efficient algorithm for computing a local maximum of the likelihood function. Using our fast new algorithm, we present evidence from simulated current status data suggesting that the rate of convergence of the log-concave estimator is faster (between \(n^{2/5}\) and \(n^{1/2}\)) than the unconstrained NPMLE (between \(n^{1/3}\) and \(n^{1/2}\)). 相似文献
128.
129.
Following up on a research note by Stephen Moore published in 1985, this article compares the results of the survey conducted
in 1985 against one carried out in 2006 on the views of eminent social scientists (economists, political scientists, psychologists,
sociologists, historians and anthropologists) on immigration issues. Specifically, the surveys report on whether the respondents
are likely to favor an increase in the number of immigrants who are allowed into the United States and other issues such as
whether immigrants improve the economy.
Rita J. Simon is a sociologist who earned her doctorate at the University of Chicago. She is currently a “University Professor” in the School of Public Affairs and the Washington College of Law at American University, Washington, DC. Professor Simon has authored 37 books and edited 19 including: Immigration the World Over with James P. Lynch. She served as editor of The American Sociological Review and from 1983–1986 as editor of Justice Quarterly. In 1966, she received a Guggenheim Fellowship. Jennifer Kanaan is a doctoral candidate in Justice, Law and Society at American University in Washington, DC. 相似文献
Rita J. SimonEmail: |
Rita J. Simon is a sociologist who earned her doctorate at the University of Chicago. She is currently a “University Professor” in the School of Public Affairs and the Washington College of Law at American University, Washington, DC. Professor Simon has authored 37 books and edited 19 including: Immigration the World Over with James P. Lynch. She served as editor of The American Sociological Review and from 1983–1986 as editor of Justice Quarterly. In 1966, she received a Guggenheim Fellowship. Jennifer Kanaan is a doctoral candidate in Justice, Law and Society at American University in Washington, DC. 相似文献
130.
Sima Zalcberg 《Gender Issues》2007,24(3):13-34
Women’s modesty norms are often perceived as governing women’s bodies and as patriarchal oppression. This study challenges
these perspectives, offering a deeper, multi-dimensional picture showing that the reality of the women’s life is much more
complicated. The article chose to discuss aspects of modesty among women of one of the most extreme Jewish ultra-Orthodox
groups, and in particular, to investigate how they experience an extremely demanding requirement—shaving off the hair on their
head upon marriage and covering their head with a black kerchief. The findings show that there are a variety of voices among
the women, ranging from the view that these practices are desirable, through the view that they empower the women, to the
view that they damage one’s attractiveness and are quite painful.
相似文献
Sima ZalcbergEmail: |