Sparse group lasso for multiclass functional logistic regression models

Sparsity-inducing penalties are useful tools for variable selection and are also effective for regression problems where the data are functions. We consider the problem of selecting not only variables but also decision boundaries in multiclass logistic regression models for functional data, using sparse regularization. The parameters of the functional logistic regression model are estimated in the framework of the penalized likelihood method with the sparse group lasso-type penalty, and then tuning parameters for the model are selected using the model selection criterion. The effectiveness of the proposed method is investigated through simulation studies and the analysis of a gene expression data set.     

Point-symmetry models and decomposition for collapsed square contingency tables

For square contingency tables with ordered categories, there may be some cases that one wants to analyze them by considering collapsed tables with some adjacent categories combined in the original table. This paper proposes three kinds of new models which have the structure of point-symmetry (PS), quasi point-symmetry and marginal point-symmetry for collapsed square tables. This paper also gives a decomposition of the PS model for collapsed square tables. The father's and his daughter's occupational mobility data are analyzed using new models.     

Recent changes in long range corporate planning in Japan

In his article the author discusses an emerging new stage in Japanese long range corporate planning which reflects the struggles of Japanese companies against the new economic situation in which it is very difficult to enjoy a high economic growth rate. Among the many long range plans launched in 1976 and 1977 Hitachi's new long range plan provides an excellent illustration of the main features of the struggles. Using Hitachi as an example various new aspects manifested in Stage IV of Japanese long range corporate planning are described with reference to the economic and social background and its implications for Japanese companies.     

A randomized Baumgartner statistic for multivariate two-sample testing hypothesis

In this paper, multivariate two-sample testing problems were examined based on the Jure?ková–Kalina's ranks of distances. The multivariate two-sample rank test based on the modified Baumgartner statistic for the two-sided alternative was proposed. The proposed statistic was a randomized statistic. Simulations were used to investigate the power of the suggested statistic for various population distributions.     

A note on variable selection in functional regression via random subspace method

Variable selection problem is one of the most important tasks in regression analysis, especially in a high-dimensional setting. In this paper, we study this problem in the context of scalar response functional regression model, which is a linear model with scalar response and functional regressors. The functional model can be represented by certain multiple linear regression model via basis expansions of functional variables. Based on this model and random subspace method of Mielniczuk and Teisseyre (Comput Stat Data Anal 71:725–742, 2014), two simple variable selection procedures for scalar response functional regression model are proposed. The final functional model is selected by using generalized information criteria. Monte Carlo simulation studies conducted and a real data example show very satisfactory performance of new variable selection methods under finite samples. Moreover, they suggest that considered procedures outperform solutions found in the literature in terms of correctly selected model, false discovery rate control and prediction error.     

Fetal movement frequency and the effect of associated perinatal factors: Multicenter study

Background

Decreased fetal movements are associated with adverse perinatal outcomes, including stillbirth. Delayed maternal visits to a health care provider after perceiving decreased fetal movements are frequently observed in stillbirths. Informing pregnant women of the normal range of fetal movement frequency is essential in their earlier visits in order to prevent stillbirth.

Nonlinear regression modeling via the lasso-type regularization

We consider the problem of constructing nonlinear regression models with Gaussian basis functions, using lasso regularization. Regularization with a lasso penalty is an advantageous in that it estimates some coefficients in linear regression models to be exactly zero. We propose imposing a weighted lasso penalty on a nonlinear regression model and thereby selecting the number of basis functions effectively. In order to select tuning parameters in the regularization method, we use a deviance information criterion proposed by Spiegelhalter et al. (2002), calculating the effective number of parameters by Gibbs sampling. Simulation results demonstrate that our methodology performs well in various situations.     

Estimate of the Number of International Children in Japan, Based on Trends in Intermarriage

Abstract  This paper focuses on international children (that is, children whose parents have different nationalities) in Japanese society. Using statistics on intermarriage in Japan between 1965 and 1990, we project the numbers of such children from 1991 to 2000. The important findings are summarized below:
1. There were estimated 165,000 international children under the age of 21 in Japan as of 1991. The number will increase to 528,000 by the end of the century if the intermarriage rate continues to increase as it has recently, but this will still represent less than 2% of the Japanese population under 21.
2. By the year 2000 roughly 75% of these will be children of foreign mothers, due to the rapid increase in marriages between Japanese grooms and foreign brides.
3. The number of children with dual nationality continues to remain much lower in Japan than advanced countries in Europe, despite concern expressed when the Nationality Law was revised in 1985. The number of children born to international couples in Japan is surprisingly small with respect to the number of international marriages, so a dramatic increase is not likely.     

Excessively delayed maternal reaction after their perception of decreased fetal movements in stillbirths: Population-based study in Japan

Background

Fetal movement is the most common method to evaluate fetal well-being. Furthermore, maternal perception of decreased fetal movements is associated with perinatal demise. Previously, we showed that perception of decreased fetal movements was the most common reason for mothers visiting the outpatient department among those who had stillbirths in our region. Further investigation of stillbirths with decreased fetal movements is essential to find a possible way of preventing stillbirth.

Effect of avian predation on survival of leaf-rolling lepidopterous larvae

Manipulative field experiments were performed in a northern Japanese deciduous forest to determine the role of avian predation in the survival of three leaf-rolling lepidopterous larvae (Homonopsis foedenratana, Archips viola, and Zeiraphera corpulentana) on Japanese lilac (Syringa reticulata) trees. When all leaf rolls on the lilacs were experimentally removed, the visitation rate of birds declined, indicating that the leaf rolls served as a visual cue for the birds. In a second experiment in which birds were excluded from the lilac trees, the survival of H. foedenratana larvae was improved, whereas the mortality of the other two Lepidoptera stayed the same. This is probably the result of differences in the shape of leaf rolls; larvae of H. foedenratana alter the leaf form to a greater extent, which may facilitate the detection of the rolls by birds. The high predation rate on the tight leaf rolls of H. foedenratana may be offset by enhanced resistance against other predators and better food quality for the enclosed larvae. Received: January 30, 1998 / Accepted: December 2, 1998