Selected Papers – Page 3 – IORA – Institute of Operations Research and Analytics

The multiple container loading problem with preference

Tian Tian, Wenbin Zhu, Andrew Lim, Lijun Wei

An international audio equipment manufacturer would like to help its customers reduce unit shipping costs by adjusting order quantity according to product preference. We introduce the problem faced by the manufacturer as the Multiple Container Loading Problem with Preference (MCLPP) and propose a combinatorial formulation for the MCLPP. We…

European Journal of Operational Research

The multiple container loading problem with preference

Tian Tian, Wenbin Zhu, Andrew Lim, Lijun Wei

European Journal of Operational Research

Clear Preferences Under Partial Distribution Information

Chin Hon Tan, Chunling Luo

Stochastic dominance is often used to study preference between different distributions of outcomes. In the stochastic dominance literature, distributions of outcomes are often assumed to be known. However, complete distribution information is rarely available in practice. In this paper, we study weighted almost first-degree stochastic dominance (WAFSD) under limited…

Decision Analysis

Clear Preferences Under Partial Distribution Information

Chin Hon Tan, Chunling Luo

Decision Analysis

Almost stochastic dominance under inconsistent utility and loss functions

Chunling Luo , Zhou He and Chin Hon Tan

Current literature on stochastic dominance assumes utility/loss functions to be the same across random variables. However, decision models with inconsistent utility functions have been proposed in the literature. The use of inconsistent loss functions when comparing between two random variables can also be appropriate under other problem settings. In…

Journal of Applied Probability

Almost stochastic dominance under inconsistent utility and loss functions

Chunling Luo , Zhou He and Chin Hon Tan

Journal of Applied Probability

Checking for prior-data conflict using prior to posterior divergences

David J. Nott, Wang Xueou, Michael Evans, Berthold-Georg Englert

When using complex Bayesian models to combine information, the checking for con- sistency of the information being combined is good statistical practice. Here a new method is developed for detecting prior-data conflicts in Bayesian models based on comparing the observed value of a prior to posterior divergence to its…

Statistical Science

Checking for prior-data conflict using prior to posterior divergences

David J. Nott, Wang Xueou, Michael Evans, Berthold-Georg Englert

Statistical Science

A Unified Approach to Diffusion Analysis of Queues with General Patience-time Distributions

Junfei Huang*, Hanqin Zhang†, and Jiheng Zhang‡

We propose a unified approach to establishing diffusion approximations for queues with im- patient customers within a general framework of scaling customer patience time. The approach consists of two steps. The first step is to show that the diffusion-scaled abandonment process is asymptotically close to a function of the…

Mathematics of Operations Research

A Unified Approach to Diffusion Analysis of Queues with General Patience-time Distributions

Junfei Huang*, Hanqin Zhang†, and Jiheng Zhang‡

Mathematics of Operations Research

Optimal Policies for a Dual-Sourcing Inventory Problem with Endogenous Stochastic Lead Times

Jing-Sheng Song, Li Xiao, Hanqin Zhang, Paul Zipkin

We consider a single-product, two-source inventory system with Poisson demand and backlogging. Inventory can be replenished through a normal supply source, which consists of a two-stage tandem queue with expo- nential production time at each stage. We can also place an emergency order by skipping the first stage, for…

Operations Research

Optimal Policies for a Dual-Sourcing Inventory Problem with Endogenous Stochastic Lead Times

Jing-Sheng Song, Li Xiao, Hanqin Zhang, Paul Zipkin

Operations Research

Multilevel Particle Filters: Normalizing Constant Estimation

Ajay Jasra, Kengo Kamatani, Prince Peprah Osei & Yan Zhou

In this article we introduce two new estimates of the normalizing constant (or marginal likelihood) for partially observed diffusion (POD) processes, with discrete observations. One estimate is biased but non-negative and the other is unbiased but not almost surely non-negative. Our method uses the multilevel particle filter of [11]….

Statistics and Computing

Multilevel Particle Filters: Normalizing Constant Estimation

Ajay Jasra, Kengo Kamatani, Prince Peprah Osei & Yan Zhou

Statistics and Computing

A sharp first order analysis of Feynman–Kac particle models, Part II: Particle Gibbs samplers

PierreDel Moral, AjayJasra

This article provides a new theory for the analysis of the particle Gibbs (PG) sampler (Andrieu et al., 2010). Following the work of Del Moral and Jasra (2017) we provide some analysis of the particle Gibbs sampler, giving first order expansions of the kernel and minorization estimates. In addition, first…

Stochastic Processes and their Applications

A sharp first order analysis of Feynman–Kac particle models, Part II: Particle Gibbs samplers

PierreDel Moral, AjayJasra

Stochastic Processes and their Applications

A Sharp First Order Analysis of Feynman-Kac Particle Models, Part I: Propagation of chaos

Pierre Del Moral, Ajay Jasra

This article provides a new theory for the analysis of forward and backward particle approximations of Feynman-Kac models. Such formulae are found in a wide variety of applications and their numerical (particle) approximation are required due to their intractability. Under mild assumptions, we provide sharp and non-asymptotic first order…

Stochastic Processes and their Applications

A Sharp First Order Analysis of Feynman-Kac Particle Models, Part I: Propagation of chaos

Pierre Del Moral, Ajay Jasra

Stochastic Processes and their Applications

Service Region Design for Urban Electric Vehicle Sharing Systems

Long He, Ho-Yin Mak, Ying Rong, Zuo-Jun Max Shen

Emerging collaborative consumption business models have shown promise in terms of both generating business opportunities and enhancing the efficient use of resources. In the transportation domain, car-sharing models are being adopted on a mass scale in major metropolitan areas worldwide. This mode of servicized mobility bridges the resource efficiency…

Manufacturing & Service Operations Management

Service Region Design for Urban Electric Vehicle Sharing Systems

Long He, Ho-Yin Mak, Ying Rong, Zuo-Jun Max Shen

Manufacturing & Service Operations Management

Risk Targeting and Policy Illusions – Evidence from the Announcement of the Volcker Rule

Jussi Keppo, Josef Korte

We analyze the Volcker Rule’s announcement effects on U.S. bank holding companies. In line with the rule and the banks’ public compliance announcements, we find that those banks that are affected by the Volcker Rule already reduced their trading books relative to their total assets 2.34% more than other…

Management Science

Risk Targeting and Policy Illusions – Evidence from the Announcement of the Volcker Rule

Jussi Keppo, Josef Korte

Management Science

Risk-Aversion and B2B Contracting under Asymmetric Information: Evidence from Managed Print Services

Jie Ning, Volodymyr Babich, John Handley, Jussi Keppo

Managed print service (MPS) is a type of IT infrastructure service that provides centralized management of companies’ printing device fleets. In this paper, we estimate the provider’s risk preference in MPS using a proprietary data set from Xerox Corporation. We adopt a structural approach in our empirical analysis by…

Operations Research

Risk-Aversion and B2B Contracting under Asymmetric Information: Evidence from Managed Print Services

Jie Ning, Volodymyr Babich, John Handley, Jussi Keppo

Operations Research

Selected Publications

The multiple container loading problem with preference

The multiple container loading problem with preference

Clear Preferences Under Partial Distribution Information

Clear Preferences Under Partial Distribution Information

Almost stochastic dominance under inconsistent utility and loss functions

Almost stochastic dominance under inconsistent utility and loss functions

Checking for prior-data conflict using prior to posterior divergences

Checking for prior-data conflict using prior to posterior divergences

A Unified Approach to Diffusion Analysis of Queues with General Patience-time Distributions

A Unified Approach to Diffusion Analysis of Queues with General Patience-time Distributions

Optimal Policies for a Dual-Sourcing Inventory Problem with Endogenous Stochastic Lead Times

Optimal Policies for a Dual-Sourcing Inventory Problem with Endogenous Stochastic Lead Times

Multilevel Particle Filters: Normalizing Constant Estimation

Multilevel Particle Filters: Normalizing Constant Estimation

A sharp first order analysis of Feynman–Kac particle models, Part II: Particle Gibbs samplers

A sharp first order analysis of Feynman–Kac particle models, Part II: Particle Gibbs samplers

A Sharp First Order Analysis of Feynman-Kac Particle Models, Part I: Propagation of chaos

A Sharp First Order Analysis of Feynman-Kac Particle Models, Part I: Propagation of chaos

Service Region Design for Urban Electric Vehicle Sharing Systems

Service Region Design for Urban Electric Vehicle Sharing Systems

Risk Targeting and Policy Illusions – Evidence from the Announcement of the Volcker Rule

Risk Targeting and Policy Illusions – Evidence from the Announcement of the Volcker Rule

Risk-Aversion and B2B Contracting under Asymmetric Information: Evidence from Managed Print Services

Risk-Aversion and B2B Contracting under Asymmetric Information: Evidence from Managed Print Services

IORA

Resources