The state space model is widely used to handle time series data driven by related latent processes in many fields. In this article, we suggest a framework to examine the relationship between state space models and ARIMA models by examining the existence and positive-definiteness conditions...

This study investigates the impact of new store entry on market share of existing stores using store market share data and a spatial market response model. Retailers can gain insight into the role of store characteristics in retail competition and predict patronage shifting patterns using the...

We propose a framework covering multi-country and multi-generation diffusion processes. Our model focuses on choice-based diffusion model and we extend the model to incorporate heterogeneity of country. We decompose the choice probability for generation into two components; the first one is...

Testing the existence of unit root and/or level change is necessary in order to understand the underlying processes of time series. In many studies carried out so far, the focus was only on a single aspect of unit root and level change, therefore limiting a full assess to the given problems. Our...

Most forecasting models often fail to produce appropriate forecasts because they are built on the assumption that data is being generated from only one stochastic process. However, in many real world problems, the time series data are generated from one stochastic process initially and then...

Inconsistent data frequency is a common problem in many research fields; therefore, it should be handled before a particular study is well under way. Many novel ideas including disaggregation techniques, which are the major interest of this study, have been suggested to mitigate the nuisances of...

A direct utility approach can handle multiple discrete/continuous choice outcomes. However, there is a trade-off between allowing correlations between unobserved perceived qualities of two alternatives and computational burden. If we allow the correlations, then we have to do numerical...

This paper aims to examine correlations in shopping situations. First, there is a certain amount of correlation between alternative choices. Specifically, the alternatives from different categories but from a same brand might be purchased together. Second, alternative choice and quantity choice...

A Bayesian method to detect structural changes in multivariate dynamic linear model is introduced and it is applied to predicting and dating the turns in business cycle. As many researchers use for business cycle analysis, the composite leading index (CLI) and the composite coincident index...

In this study, we suggest a framework to investigate and recover the actual impact of extreme online ratings and to understand biases in suppliers' expectations about box office sales, based on the nature of extreme behaviors, willingness to rate and skepticism, and information symmetry in the...