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Mathematical optimisation in the honeycomb cardboard industry: A model for the two-dimensional variable-sized cutting stock problem Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-22 Paula Terán-Viadero, Antonio Alonso-Ayuso, F. Javier Martín-Campo
This paper presents a mixed-integer linear programming model for a two-dimensional variable-sized cutting stock problem with guillotine cuts that arises in the honeycomb cardboard sector. This research is developed in collaboration with a company based in Spain. The aim is not only to define the cutting patterns but also to establish the dimensions (width and length) of the panels to be produced, in
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A bilevel programming approach to price decoupling in Pay-as-Clear markets, with application to day-ahead electricity markets Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-22 Antonio Frangioni, Fabrizio Lacalandra
Motivated by the recent crisis of the European electricity markets, we propose the concept of (SPaC) market, introducing a new family of market clearing problems that achieve a degree of decoupling between groups of participants. This requires a relatively straightforward modification of the standard PaC model and retains its crucial features by providing both long- and short-term sound price signals
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Corrigendum to Maximum Likelihood Estimation of the Multivariate Normal Mixture Model J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-06-21
Published in Journal of the American Statistical Association (Just accepted, 2024)
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High-dimensional propensity score and its machine learning extensions in residual confounding control Am. Stat. (IF 1.8) Pub Date : 2024-06-17 Mohammad Ehsanul Karim
“The use of health care claims datasets often encounters criticism due to the pervasive issues of omitted variables and inaccuracies or mis-measurements in available confounders. Ultimately, the tr...
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SEM Approach to the Mediation Analysis of the Two-Condition Within-Subject Design Struct. Equ. Model. (IF 2.5) Pub Date : 2024-06-18 Eujin Park, Changsoon Park
The effects of the two-condition within-subject (TCWS) conditional mediation model are developed using the SEM approach. The structural equation model for the within-subject mediator and the within...
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Nonparametric multi-product dynamic pricing with demand learning via simultaneous price perturbation Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-21 Xiangyu Yang, Jianghua Zhang, Jian-Qiang Hu, Jiaqiao Hu
We consider the problem of multi-product dynamic pricing with demand learning and propose a nonparametric online learning algorithm based on the simultaneous perturbation stochastic approximation (SPSA) method. The algorithm uses only two price experimentations at each iteration, regardless of problem dimension, and could be especially efficient for solving high-dimensional problems. Under moderate
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Solving constrained consumption–investment problems by decomposition algorithms Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-20 Bernardo K. Pagnoncelli, Tito Homem-de-Mello, Guido Lagos, Pablo Castañeda, Javier García
Consumption–investment problems with maximizing utility agents are usually considered from a theoretical viewpoint, aiming at closed-form solutions for the optimal policy. However, such an approach requires that the model be relatively simple: even the inclusion of nonnegativity constraints can prevent the derivation of explicit solutions. In such cases, it is necessary to solve the problem numerically
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An exact algorithm for the multi-trip vehicle routing problem with time windows and multi-skilled manpower Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-20 Nan Huang, Hu Qin, Yuquan Du, Li Wang
Motivated by the challenges of non-emergency patient transportation services in the healthcare industry, this study investigated a multi-trip vehicle routing problem incorporating multi-skilled manpower with downgrading. We aimed to find an optimal plan for vehicle routing and multi-skilled manpower scheduling in tandem with the objective of minimizing the total cost, including travel and staff costs
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Enhanced Response Envelope via Envelope Regularization J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-06-18 Oh-Ran Kwon, Hui Zou
The response envelope model provides substantial efficiency gains over the standard multivariate linear regression by identifying the material part of the response to the model and by excluding the...
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Integrative data analysis where partial covariates have complex non-linear effects by using summary information from an external data Am. Stat. (IF 1.8) Pub Date : 2024-06-17 Jia Liang, Shuo Chen, Peter Kochunov, L. Elliot Hong, Chixiang Chen
A full parametric and linear specification may be insufficient to capture complicated patterns in studies exploring complex features, such as those investigating age-related changes in brain functi...
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Joint Effects in Cross-Lagged Panel Research Using Structural Nested Mean Models Struct. Equ. Model. (IF 2.5) Pub Date : 2024-06-17 Jeroen D. Mulder, Satoshi Usami, Ellen L. Hamaker
A popular approach among psychological researchers for investigating causal relationships from panel data is cross-lagged panel modeling within the structural equation modeling (SEM) framework. How...
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Investment–consumption optimization with transaction cost and learning about return predictability Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-17 Ning Wang, Tak Kuen Siu
In this paper, we investigate an investment–consumption optimization problem in continuous-time settings, where the expected rate of return from a risky asset is predictable with an observable factor and an unobservable factor. Based on observable information, a decision-maker learns about the unobservable factor while making investment–consumption decisions. Both factors are supposed to follow a mean-reverting
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Generalized Data Thinning Using Sufficient Statistics J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-06-13 Ameer Dharamshi, Anna Neufeld, Keshav Motwani, Lucy L. Gao, Daniela Witten, Jacob Bien
Our goal is to develop a general strategy to decompose a random variable X into multiple independent random variables, without sacrificing any information about unknown parameters. A recent paper s...
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Real-time train timetabling with virtual coupling operations on a Y-type metro line Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-15 Hongyang Wang, Lixing Yang, Jinlei Zhang, Qin Luo, Zhongsheng Fan
The spatiotemporal imbalance of passenger flows is a prominent characteristic of urban rail transit systems. To match the provided transportation capacity with passenger distribution, this study considers an integer linear programming model to optimize train operation on a Y-type line, including the train timetable, rolling stock circulation plan and virtual coupling/uncoupling strategy that enables
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Sequentially extending space-filling experimental designs by optimally permuting and stacking columns of the design matrix Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-15 J.D. Parker Jr., T.W. Lucas, W.M. Carlyle
Researchers make available computationally expensive designs for computer experiments for widespread use by cataloging them and providing online links. This paper presents an algorithm that augments space-filling designs (SFDs) by optimally permuting and stacking columns of the design matrix to minimize the maximum absolute pairwise correlation among columns in the new extended design. The algorithm
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Adaptive stochastic lookahead policies for dynamic multi-period purchasing and inventory routing Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-15 Daniel Cuellar-Usaquén, Marlin W. Ulmer, Camilo Gomez, David Álvarez-Martínez
We explore a problem faced by agri-food e-commerce platforms in purchasing different, perishable products and collecting them from multiple producers and delivering them to a single warehouse, aiming to maintain adequate inventory levels to meet current and future customer demand, while avoiding waste. Customer demand and suppliers’ purchase prices and supply volumes are uncertain and revealed on a
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Tyranny-of-the-minority Regression Adjustment in Randomized Experiments J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-06-12 Xin Lu, Hanzhong Liu
Abstract–Regression adjustment is widely used in the analysis of randomized experiments to improve the estimation efficiency of the treatment effect. This paper reexamines a weighted regression adj...
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Russell and slack-based measures of efficiency: A unifying framework Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-12 Valentin Zelenyuk, Shirong Zhao
Some of the popular technical efficiency measures are not able to account for potential slacks in inputs or outputs and may misrepresent the degree of inefficiency pertinent to firms, industries, and countries when compared to their peers. A wide range of methods have been proposed in the literature over the last four decades to address this important issue. The precise relationship among many of these
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Scale-Invariance, Equivariance and Dependency of Structural Equation Models Struct. Equ. Model. (IF 2.5) Pub Date : 2024-06-12 Ke-Hai Yuan, Ling Ling, Zhiyong Zhang
Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, wher...
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Test and Measure for Partial Mean Dependence Based on Machine Learning Methods J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-06-11 Leheng Cai, Xu Guo, Wei Zhong
It is of importance to investigate the significance of a subset of covariates W for the response Y given covariates Z in regression modeling. To this end, we propose a significance test for the par...
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Nonparametric Multiple-Output Center-Outward Quantile Regression J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-06-11 Eustasio del Barrio, Alberto González Sanz, Marc Hallin
Building on recent measure-transportation-based concepts of multivariate quantiles, we are considering the problem of nonparametric multiple-output quantile regression. Our approach defines nested ...
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A review of recent advances in time-dependent vehicle routing Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-11 Tommaso Adamo, Michel Gendreau, Gianpaolo Ghiani, Emanuela Guerriero
In late 2015 three of the co-authors of this paper published the first review on time-dependent routing problems. Since then, there have been several important algorithmic developments in the field. These include travel time prediction methods, real-time re-optimization by operating directly on the road graph, efficient exploration of solution neighborhoods, dynamic discretization discovery and -inspired
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An effective multi-level memetic search with neighborhood reduction for the clustered team orienteering problem Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-11 Mu He, Qinghua Wu, Una Benlic, Yongliang Lu, Yuning Chen
The Clustered Team Orienteering Problem (CluTOP) extends the classic Clustered Orienteering Problem by considering the use of multiple vehicles. The problem is known to be NP-hard and can be used to formulate many real-life applications. This work presents a highly effective multi-level memetic search for CluTOP that combines a backbone-based edge assembly crossover to generate promising offspring
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A learning-based granular variable neighborhood search for a multi-period election logistics problem with time-dependent profits Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-11 Masoud Shahmanzari, Renata Mansini
Planning the election campaign for leaders of a political party is a complex problem. The party representatives, running mates, and campaign managers have to design an efficient routing and scheduling plan to visit multiple locations while respecting time and budget constraints. Given the limited time of election campaigns in most countries, every minute should be used effectively, and there is very
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Performance evaluation using multi-stage production frameworks: Assessing the tradeoffs among the economic, environmental, and social well-being Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-11 Yiran Niu, Jean-Philippe Boussemart, Zhiyang Shen, Michael Vardanyan
Aiming to achieve sustainable development, a constantly growing number of countries have strived to promote economic growth while simultaneously mitigating environmental degradation and maximizing social welfare. However, despite the importance attributed to social well-being in contemporary discourse, its role has not received much attention in the performance evaluation literature. We propose a novel
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A machine learning approach to two-stage adaptive robust optimization Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-10 Dimitris Bertsimas, Cheol Woo Kim
We propose an approach based on machine learning to solve two-stage linear adaptive robust optimization (ARO) problems with binary here-and-now variables and polyhedral uncertainty sets. We encode the optimal here-and-now decisions, the worst-case scenarios associated with the optimal here-and-now decisions, and the optimal wait-and-see decisions into what we denote as the strategy. We solve multiple
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Using anticipatory orders to manage disruption risk over a short product life cycle Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-10 Sunil Chopra, Vadim Glinskiy, Florian Lücker
We study the impact of supply disruptions on sourcing strategies when product life cycles are short and future demand depends on current sales. We introduce the concept of order policies with anticipatory orders where some or all of orders with the unreliable supplier in future periods are moved to an earlier period. Using a 2-period model, we show that despite incurring additional holding cost when
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Some new clique inequalities in four-index hub location models Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-10 Mercedes Landete, Juanjo Peiró
Hub location problems can be modeled in several ways, one of which is the path-based family of models that make use of four-index variables. Clique inequalities are frequently used to describe solution characteristics for optimization problems with binary variables. In this study, new valid inequalities of the clique type are introduced for the path-based family of hub location models. Some of their
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Enhancing Model Fit Evaluation in SEM: Practical Tips for Optimizing Chi-Square Tests Struct. Equ. Model. (IF 2.5) Pub Date : 2024-06-10 Bang Quan Zheng, Peter M. Bentler
This paper aims to advocate for a balanced approach to model fit evaluation in structural equation modeling (SEM). The ongoing debate surrounding chi-square test statistics and fit indices has been...
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Agency or reselling? Supplier’s online channel strategies with platform financing Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-08 Yang Liu, Jizhou Lu, Nina Yan
Online finance implemented by e-commerce platforms assists small and medium-sized enterprises in overcoming capital shortages and advancing channel development. We investigate the interplay between channel strategy and platform financing within a dual-channel supply chain comprising a capital-constrained supplier, an e-commerce platform, and an offline retailer. The supplier has access to various sales
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Multicriteria optimization techniques for understanding the case mix landscape of a hospital Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-07 Robert L Burdett, Paul Corry, Prasad Yarlagadda, David Cook, Sean Birgan
Various medical and surgical units operate in a typical hospital and to treat their patients these units compete for infrastructure like operating rooms (OR) and ward beds. How that competition is regulated affects the capacity and output of a hospital. This article considers the impact of treating different patient case mix (PCM). As each case mix has an economic consequence and a unique profile of
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Assessment and Continuous Improvement of an Undergraduate Data Science Program Am. Stat. (IF 1.8) Pub Date : 2024-06-07 Nicholas Clark, Christopher Morrell, Mike Powell
In recent years, there has been an explosion in the growth of undergraduate statistics and data science programs across the US. Simultaneously, there has been clear guidance written on curriculum d...
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The generator distribution problem for base stations during emergency power outage: A branch-and-price-and-cut approach Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-06 Hu Qin, Anton Moriakin, Gangyan Xu, Jiliu Li
Motivated by the need for uninterrupted service provision in the telecommunications industry, this paper presents a novel problem concerning the transportation of diesel generators during an unplanned power outage. Given a set of base stations, each equipped with a capacitated back-up battery pack, the problem consists in finding an optimal delivery and pick-up schedule that minimises corresponding
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Which algorithm to select in sports timetabling? Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-06 David Van Bulck, Dries Goossens, Jan-Patrick Clarner, Angelos Dimitsas, George H.G. Fonseca, Carlos Lamas-Fernandez, Martin Mariusz Lester, Jaap Pedersen, Antony E. Phillips, Roberto Maria Rosati
Any sports competition needs a timetable, specifying when and where teams meet each other. The recent International Timetabling Competition (ITC2021) on sports timetabling showed that, although it is possible to develop general algorithms, the performance of each algorithm varies considerably over the problem instances. This paper provides a problem type analysis for sports timetabling, resulting in
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On the automatic generation of metaheuristic algorithms for combinatorial optimization problems Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-06 Raúl Martín-Santamaría, Manuel López-Ibáñez, Thomas Stützle, J. Manuel Colmenar
Metaheuristic algorithms have become one of the preferred approaches for solving optimization problems. Finding the best metaheuristic for a given problem is often difficult due to the large number of available approaches and possible algorithmic designs. Moreover, high-performing metaheuristics often combine general-purpose and problem-specific algorithmic components. We propose here an approach for
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An improved equilibrium efficient frontier data envelopment analysis approach for evaluating decision-making units with fixed-sum outputs Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-05 Junfei Chu, Yanhua Dong, Zhe Yuan
In recent years, significant development has been made in efficiency evaluation for Decision-Making Units (DMUs) with fixed-sum outputs. The Generalized Equilibrium Efficient Frontier Data Envelopment Analysis (GEEFDEA) approach introduced by Yang et al. (2015) is one of the most representative methods. In the GEEFDEA approach, all DMUs are adjusted to become efficient under the same set of weights
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A theory of multivariate stress testing Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-05 Pietro Millossovich, Andreas Tsanakas, Ruodu Wang
We present a theoretical framework for stressing multivariate stochastic models. We consider a stress to be a change of measure, placing a higher weight on multivariate scenarios of interest. In particular, a is a mapping from random vectors to Radon–Nikodym densities. We postulate desirable properties for stressing mechanisms addressing alternative objectives. Consistently with our focus on dependence
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Matrix Decomposition Approach for Structural Equation Modeling as an Alternative to Covariance Structure Analysis and Its Theoretical Properties Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-31 Naoto Yamashita
Matrix decomposition structural equation modeling (MDSEM) is introduced as a novel approach in structural equation modeling, contrasting with traditional structural equation modeling (SEM). MDSEM a...
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Scalable policies for the dynamic traveling multi-maintainer problem with alerts Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-04 Peter Verleijsdonk, Willem van Jaarsveld, Stella Kapodistria
Downtime of industrial assets such as wind turbines and medical imaging devices is costly. To avoid such downtime costs, companies seek to initiate maintenance just before failure, which is challenging because: (i) Asset failures are notoriously difficult to predict, even in the presence of real-time monitoring devices which signal degradation; and (ii) Limited resources are available to serve a network
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Correction J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-06-03 Pavel N. Krivitsky, Pietro Coletti, Niel Hens
This note provides correction to some numerical results in Krivitsky P. N., Coletti, P., and Hens, N. (2023), “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Sampl...
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Efficient use of collision detection for volume maximization problems Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-06-01 Jonas Tollenaere, Hatice Çalık, Tony Wauters
This paper proposes improved local search heuristics based on collision detection for solving volume maximization problems, with a particular focus on single item volume maximization. The objective is to find the biggest item of a predefined shape that can be extracted from a larger container. Both the item and the container are three-dimensional objects and can have irregular shapes. Our goal is to
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Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-05-31 Kun Meng, Jinyu Wang, Lorin Crawford, Ani Eloyan
In this article, we establish the mathematical foundations for modeling the randomness of shapes and conducting statistical inference on shapes using the smooth Euler characteristic transform. Base...
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Graph-Aligned Random Partition Model (GARP) J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-05-30 Giovanni Rebaudo, Peter Müller
Bayesian nonparametric mixtures and random partition models are powerful tools for probabilistic clustering. However, standard independent mixture models can be restrictive in some applications suc...
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Double hedonic price-characteristics frontier estimation for IoT service providers in the industry 5.0 era: A nonconvex perspective accommodating ratios Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-05-29 Kristiaan Kerstens, Majid Azadi, Reza Kazemi Matin, Reza Farzipoor Saen
The advent of advanced digital technologies, including the Internet of Things (IoT), image processing, artificial intelligence (AI), blockchain, robotics and cognitive computing that have been embedded in Industry 5.0, is considerably improving the sustainability, resilience, and human-centric performance of industrial organizations. Despite the increasing use of Industry 5.0 technologies in smart
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Data-driven resource allocation for multi-target attainment Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-05-29 Dohyun Ahn
We delve into a class of multi-target attainment problems, which commonly arise in practical applications such as operations management, marketing, policy making, and healthcare services. The aim is to efficiently allocate a fixed amount of resources to achieve predetermined target payoffs for multiple tasks. We transform this stochastic problem into a tractable optimization problem that, when optimized
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Unexpected opportunities in misspecified predictive regressions Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-05-29 Guillaume Coqueret, Romain Deguest
This article documents surprising learning patterns that can occur under model misspecification. An agent resorts to predictive regressions and fails to take into account autocorrelation in the dependent variable. Remarkably, when the dependent and independent variables are uncorrelated, we find cases for which the resulting out-of-sample is well above zero, which benefits the agent, in spite of the
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Benders Decomposition with Delayed Disaggregation for the Active Passive Vehicle Routing Problem Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-05-29 Yannik Rist, Christian Tilk, Michael Forbes
We investigate a new exact solution approach for the Active Passive Vehicle Routing Problem, a vehicle routing problem with complicated temporal synchronisation requirements between vehicles. A key contribution is the introduction of a new principle, , for Benders Decomposition to produce disaggregated optimality cuts when traditional block-diagonality fails. The technique is applied to a new Mixed
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Efficient stochastic generators with spherical harmonic transformation for high-resolution global climate simulations from CESM2-LENS2 J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-05-29 Yan Song, Zubair Khalid, Marc G. Genton
Earth system models (ESMs) are fundamental for understanding Earth’s complex climate system. However, the computational demands and storage requirements of ESM simulations limit their utility. For ...
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Generalizing the intention-to-treat effect of an active control from historical placebo-controlled trials: A case study of the efficacy of daily oral TDF/FTC in the HPTN 084 study J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-05-29 Qijia He, Fei Gao, Oliver Dukes, Sinead Delany-Moretlwe, Bo Zhang
In many clinical settings, an active-controlled trial design (e.g., a non-inferiority or superiority design) is often used to compare an experimental medicine to an active control (e.g., an FDA-app...
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Sequential monitoring using the Second Generation P-Value with Type I error controlled by monitoring frequency Am. Stat. (IF 1.8) Pub Date : 2024-05-28 Jonathan J. Chipman, Robert A. Greevy Jr., Lindsay Mayberry, Jeffrey D. Blume
The Second Generation P-Value (SGPV) measures the overlap between an estimated interval and a composite hypothesis of parameter values. We develop a sequential monitoring scheme of the SGPV (SeqSGP...
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The digital economy and advertising diffusion models: Critical mass and the Stalling equilibrium Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-05-28 Gustav Feichtinger, Dieter Grass, Richard F. Hartl, Peter M. Kort, Andrea Seidl
In the digital economy it is frequently observed that products become more valuable the larger is the number of people that use it. To account for such network effects, we introduce a new diffusion equation in a dynamic model of the firm with the aim to obtain the advertising policy that maximizes firm profits. Also an advertising budget is introduced.
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Non-additive network pricing with non-cooperative mobility service providers Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-05-28 Wentao Huang, Sisi Jian, David Rey
This study addresses a mobility network pricing problem in a competitive environment. We consider a multimodal transportation network where the links are operated by multiple profit-maximizing, mobility service providers (MSPs). We take the perspective of a network regulator that aims to increase ridership in a target mobility network by providing non-additive, path-based subsidies to travelers. We
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A preventive maintenance policy and a method to approximate the failure process for multi-component systems Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-05-28 Shaomin Wu, Majid Asadi
Numerous maintenance policies have been proposed in the reliability mathematics and engineering literature. Nevertheless, little has been reported on their practical applications in industries. This gap is largely due to restrictive assumptions of the maintenance policies. Two of the main assumptions are that maintenance is conducted on typical components and that the reliability of an item under maintenance
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A queueing-based approach for integrated routing and appointment scheduling Eur. J. Oper. Res. (IF 6.0) Pub Date : 2024-05-28 René Bekker, Bharti Bharti, Leon Lan, Michel Mandjes
This paper aims to address the integrated routing and appointment scheduling (RAS) problem for a single service provider. The RAS problem is an operational challenge faced by operators that provide services requiring home attendance, such as grocery delivery, home healthcare, or maintenance services. While considering the inherently random nature of service and travel times, the goal is to minimize
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False Discovery Rate Control For Structured Multiple Testing: Asymmetric Rules And Conformal Q-values J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-05-28 Zinan Zhao, Wenguang Sun
The effective utilization of structural information in data while ensuring statistical validity poses a significant challenge in false discovery rate (FDR) analyses. Conformal inference provides ri...
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Node-level community detection within edge exchangeable models for interaction processes J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-05-28 Yuhua Zhang, Walter Dempsey
Scientists are increasingly interested in discovering community structure from modern relational data arising on large-scale social networks. While many methods have been proposed for learning comm...
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Mediation analysis with the mediator and outcome missing not at random J. Am. Stat. Assoc. (IF 3.0) Pub Date : 2024-05-28 Shuozhi Zuo, Debashis Ghosh, Peng Ding, Fan Yang
Mediation analysis is widely used for investigating direct and indirect causal pathways through which an effect arises. However, many mediation analysis studies are challenged by missingness in the...
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Investigating Structural Model Fit Evaluation Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-28 Xijuan Zhang, Hao Wu
A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing...
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Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-28 Teague R. Henry, Zachary F. Fisher, Kenneth A. Bollen
Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, noniterative estimator for latent variable models. Associated with this estim...
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Minimal-Effect Testing, Equivalence Testing, and the Conventional Null Hypothesis Testing for the Analysis of Bi-Factor Models Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-28 Shunji Wang, Katerina M. Marcoulides, Jiashan Tang, Ke-Hai Yuan
A necessary step in applying bi-factor models is to evaluate the need for domain factors with a general factor in place. The conventional null hypothesis testing (NHT) was commonly used for such a ...