The modeling of the term structure of interest rates is one of primary topics for researches in financial economics. Here we consider models of the short interest rate in discrete processes. Our methodology of analysi...The modeling of the term structure of interest rates is one of primary topics for researches in financial economics. Here we consider models of the short interest rate in discrete processes. Our methodology of analysis follows the framework of discrete stochastic calculus.展开更多
Obtaining complete information regarding discovered vulnerabilities looks extremely difficult. Yet, developing statistical models requires a great deal of such complete information about the vulnerabilities. In our pr...Obtaining complete information regarding discovered vulnerabilities looks extremely difficult. Yet, developing statistical models requires a great deal of such complete information about the vulnerabilities. In our previous studies, we introduced a new concept of “Risk Factor” of vulnerability which was calculated as a function of time. We introduced the use of Markovian approach to estimate the probability of a particular vulnerability being at a particular “state” of the vulnerability life cycle. In this study, we further develop our models, use available data sources in a probabilistic foundation to enhance the reliability and also introduce some useful new modeling strategies for vulnerability risk estimation. Finally, we present a new set of Non-Linear Statistical Models that can be used in estimating the probability of being exploited as a function of time. Our study is based on the typical security system and vulnerability data that are available. However, our methodology and system structure can be applied to a specific security system by any software engineer and using their own vulnerabilities to obtain their probability of being exploited as a function of time. This information is very important to a company’s security system in its strategic plan to monitor and improve its process for not being exploited.展开更多
We examined the psychosocial factors affecting middle-aged Japanese women’s intentions to undergo mammography, as well as their actual usage of mammography by applying the Parallel Processing Model (PPM) of self regu...We examined the psychosocial factors affecting middle-aged Japanese women’s intentions to undergo mammography, as well as their actual usage of mammography by applying the Parallel Processing Model (PPM) of self regulation longitudinally. A total of 1030 middle-aged women living in all parts of Japan participated in this study through internet research from September 2010 to May 2011. The participants were evaluated on the basis of a battery of questionnaires mainly including demographics, perceived breast cancer risk, worry about breast cancer, mammography testing beliefs, intentions to use mammography, seeking information about mammography, and actual usage of mammography thrice over an eight-month period. The main results were as follows: 1) Perceived risk and cancer worry affected the intention of undergoing mammography, and this effect was mediated by beliefs about mammography testing. 2) Intention to use mammography and past mammography usage predicted future usage of mammography, with past mammography usage being the strongest predictor. 3) Information seeking about mammography was the strongest predictor of using mammography during the eight-month follow-up period of middle-aged women who had not undergone any mammography testing. PPM was a useful model to explain the mechanism behind middle-aged Japanese women’s intentions to use mammography, as well as their actual usage of mammography. In addition, past mammography experience was the strongest predictor of regular mammography usage and information seeking was a critical factor for the first-usage of mammography.展开更多
文摘The modeling of the term structure of interest rates is one of primary topics for researches in financial economics. Here we consider models of the short interest rate in discrete processes. Our methodology of analysis follows the framework of discrete stochastic calculus.
文摘Obtaining complete information regarding discovered vulnerabilities looks extremely difficult. Yet, developing statistical models requires a great deal of such complete information about the vulnerabilities. In our previous studies, we introduced a new concept of “Risk Factor” of vulnerability which was calculated as a function of time. We introduced the use of Markovian approach to estimate the probability of a particular vulnerability being at a particular “state” of the vulnerability life cycle. In this study, we further develop our models, use available data sources in a probabilistic foundation to enhance the reliability and also introduce some useful new modeling strategies for vulnerability risk estimation. Finally, we present a new set of Non-Linear Statistical Models that can be used in estimating the probability of being exploited as a function of time. Our study is based on the typical security system and vulnerability data that are available. However, our methodology and system structure can be applied to a specific security system by any software engineer and using their own vulnerabilities to obtain their probability of being exploited as a function of time. This information is very important to a company’s security system in its strategic plan to monitor and improve its process for not being exploited.
文摘We examined the psychosocial factors affecting middle-aged Japanese women’s intentions to undergo mammography, as well as their actual usage of mammography by applying the Parallel Processing Model (PPM) of self regulation longitudinally. A total of 1030 middle-aged women living in all parts of Japan participated in this study through internet research from September 2010 to May 2011. The participants were evaluated on the basis of a battery of questionnaires mainly including demographics, perceived breast cancer risk, worry about breast cancer, mammography testing beliefs, intentions to use mammography, seeking information about mammography, and actual usage of mammography thrice over an eight-month period. The main results were as follows: 1) Perceived risk and cancer worry affected the intention of undergoing mammography, and this effect was mediated by beliefs about mammography testing. 2) Intention to use mammography and past mammography usage predicted future usage of mammography, with past mammography usage being the strongest predictor. 3) Information seeking about mammography was the strongest predictor of using mammography during the eight-month follow-up period of middle-aged women who had not undergone any mammography testing. PPM was a useful model to explain the mechanism behind middle-aged Japanese women’s intentions to use mammography, as well as their actual usage of mammography. In addition, past mammography experience was the strongest predictor of regular mammography usage and information seeking was a critical factor for the first-usage of mammography.
