Liver transplantation is often a life-saving treatment for patients who are suffering from various diseases of the liver; however, its use is limited by the shortage of deceased-donor livers. In the United States, the two most common indications for liver transplantation are endstage liver disease

This paper examines the impact of two reimbursement schemes on patient welfare, readmission rate, and waiting time in a three tiered public healthcare system comprising (a) a public funder who decides on the reimbursement rate to maximize patient welfare, (b) a public healthcare provider (HCP) who

Inventory management is one central problem of operations. The classical inventory theories typically focus on the operational tradeoffs to optimize the inventory decisions. In practice, however, many firms are public that often have short-term interests in their market value. In this research, we

In this article, we introduce the concept of model confidence bounds (MCBs) for variable selection in the context of nested models. Similarly to the endpoints in the familiar confidence interval for parameter estimation, the MCBs identify two nested models (upper and lower confidence bound models)

Many models in economics and operations research can be formulated as Variational Inequalities (VI) problems. In this paper, we introduce an equivalence relation called ordinal equivalence transformation (OET) on VI, which has the property of preserving the solution set of VI. We revisit many

This paper develops an unbiased Monte Carlo estimator of the transition density of a multivariate jump-diffusion process. The drift, volatility, jump intensity, and jump magnitude are allowed to be state-dependent and non-affine. It is not necessary that the volatility matrix can be diagonalized

Many contemporary large-scale applications involve building interpretable models linking a large set of potential covariates to a response in a nonlinear fashion, such as when the response is binary. Although this modeling problem has been extensively studied, it remains unclear how to effectively

To cook a delicious dish, three (3) components are required—good cooking materials, good kitchen cookware, and good cooking skills. This is the same as doing a Big Data research. To do a good job in Big Data analysis, a reliable data is your material, a powerful computer is your cookware, and the

Identification through heteroskedasticity in heteroskedastic simultaneous equations models (HSEMs) is considered. The possibility that heteroskedasticity identifies the structural parameters only partially is explicitly allowed for. The asymptotic properties of the identified parameters are

Start-up companies play an important role in innovation and many of them have become the leaders of their fields. With limited capital and human resources, start-up companies face a range of challenges in managing their research and development (R&D) projects. This presentation covers three