Run-Related Probability Functions Applied to Sampling Inspection. - Galit Shmueli; Ayala Cohen (Technometrics, 2000)

Computing consecutive-type reliabilities nonrecursively. - Galit Shmueli (IEEE Trans. Reliab., 2003)

Representing Unevenly-Spaced Time Series Data for Visualization and Interactive Exploration. - Aleks Aris; Ben Shneiderman; Catherine Plaisant; Galit Shmueli; Wolfgang Jank (INTERACT, 2005)

Dynamic, real-time forecasting of online auctions via functional models. - Wolfgang Jank; Galit Shmueli; Shanshan Wang (KDD, 2006)

Exploring auction databases through interactive visualization. - Galit Shmueli; Wolfgang Jank; Aleks Aris; Catherine Plaisant; Ben Shneiderman (Decis. Support Syst., 2006)

A Data Disclosure Policy for Count Data Based on the COM-Poisson Distribution. - Joseph B. Kadane; Ramayya Krishnan; Galit Shmueli (Manag. Sci., 2006)

A family of growth models for representing the price process in online auctions. - Valerie Hyde; Wolfgang Jank; Galit Shmueli (ICEC, 2007)

Algorithm Combination for Improved Performance in Biosurveillance Systems. - Inbal Yahav; Galit Shmueli (BioSurveillance, 2007)

Similarity-Based Forecasting with Simultaneous Previews: A River Plot Interface for Time Series Forecasting. - Paolo Buono; Catherine Plaisant; Adalberto Lafcadio Simeone; Aleks Aris; Galit Shmueli; Wolfgang Jank (IV, 2007)

Ensemble Forecasting for Disease Outbreak Detection. - Thomas H. Lotze; Galit Shmueli (AAAI, 2008)

Transformations for semi-continuous data. - Galit Shmueli; Wolfgang Jank; Valerie Hyde (Comput. Stat. Data Anal., 2008)

Price formation and its dynamics in online auctions. - Ravi Bapna; Wolfgang Jank; Galit Shmueli (Decis. Support Syst., 2008)

Consumer Surplus in Online Auctions. - Ravi Bapna; Wolfgang Jank; Galit Shmueli (Inf. Syst. Res., 2008)

Statistical Challenges Facing Early Outbreak Detection in Biosurveillance. - Galit Shmueli; Howard S. Burkom (Technometrics, 2010)

Forecasting Online Auctions using Dynamic Models. - Wolfgang Jank; Galit Shmueli (Data Mining for Business Applications, 2010)

Dynamic Price Forecasting in Simultaneous Online Art Auctions. - Mayukh Dass; Wolfgang Jank; Galit Shmueli (Marketing Intelligent Systems Using Soft Computing, 2010)

Predictive Analytics in Information Systems Research. - Galit Shmueli; Otto R. Koppius (MIS Q., 2011)

One-Way Mirrors and Weak-Signaling in Online Dating: A Randomized Field Experiment. - Akhmed Umyarov; Ravi Bapna; Jui Ramaprasad; Galit Shmueli (ICIS, 2013)

Wavelet-Based Monitoring for Biosurveillance. - Galit Shmueli (Axioms, 2013)

Research Commentary - Too Big to Fail: Large Samples and the p-Value Problem. - Mingfeng Lin; Henry C. Lucas Jr.; Galit Shmueli (Inf. Syst. Res., 2013)

Linear Probability Models in Information Systems Research. - Galit Shmueli; Suneel Chatla (ECIS, 2014)

Tackling Simpson's Paradox in Big Data using Classification & Regression Trees. - Galit Shmueli; Inbal Yahav (ECIS, 2014)

Does Growing Demand for Data Science Create New Opportunities for Information Systems? - Ritu Agarwal; Ravi Bapna; Anindya Ghose; Galit Shmueli; Sandra Slaughter; Prasanna Tambe; Khim Yong Goh (ICIS, 2014)

Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores. - Inbal Yahav; Galit Shmueli (Ann. Oper. Res., 2014)

Directionally Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance. - Inbal Yahav; Galit Shmueli (Qual. Reliab. Eng. Int., 2014)

One-Way Mirrors in Online Dating: A Randomized Field Experiment. - Ravi Bapna; Jui Ramaprasad; Galit Shmueli; Akhmed Umyarov (Manag. Sci., 2016)

A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data. - Inbal Yahav; Galit Shmueli; Deepa Mani (MIS Q., 2016)

Research Dilemmas with Behavioral Big Data. - Galit Shmueli (Big Data, 2017)

Selected topics in statistical computing. - Suneel Chatla; Chun-Houh Chen; Galit Shmueli (Encycl. Semantic Comput. Robotic Intell., 2017)

An Extensive Examination of Regression Models with a Binary Outcome Variable. - Suneel Chatla; Galit Shmueli (J. Assoc. Inf. Syst., 2017)

Efficient estimation of COM-Poisson regression and a generalized additive model. - Suneel Chatla; Galit Shmueli (Comput. Stat. Data Anal., 2018)

Analysing Large Collections of Time Series (NII Shonan Meeting 2018-3). - Anne Driemel; Rob J. Hyndman; Galit Shmueli (NII Shonan Meet. Rep., 2018)

Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers. - Travis Greene; Galit Shmueli; Soumya Ray; Jan Fell (Big Data, 2019)

Lift Up and Act! Classifier Performance in Resource-Constrained Applications. - Galit Shmueli (CoRR, 2019)

How Personal is Machine Learning Personalization? - Travis Greene; Galit Shmueli (CoRR, 2019)

PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research. - Pratyush Nidhi Sharma; Marko Sarstedt; Galit Shmueli; Kevin Hyunkyung Kim; Kai Oliver Thiele (J. Assoc. Inf. Syst., 2019)

Social Networking Break Day 1: Yoga with Galit Shmueli. - Galit Shmueli (ICIS, 2020)

"Improving" prediction of human behavior using behavior modification. - Galit Shmueli (CoRR, 2020)

Beyond Our Behavior: The GDPR and Humanistic Personalization. - Travis Greene; Galit Shmueli (CoRR, 2020)

The Hidden Inconsistencies Introduced by Predictive Algorithms in Judicial Decision Making. - Travis Greene; Galit Shmueli; Jan Fell; Ching-Fu Lin; Mark L. Shope; Han-Wei Liu (CoRR, 2020)

Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure. - Ali Tafti; Galit Shmueli (Inf. Syst. Res., 2020)

Seeing Humans in the Data: Ethical Blind Spots of Taiwan Academic Researchers in the Era of Behavioral Big Data. - Jan Fell; Galit Shmueli; Travis Greene; Jyun-Cheng Wang; Soumya Ray; Shu-Yuan Wu (HICSS, 2021)

Prediction-Oriented Model Selection in Partial Least Squares Path Modeling. - Pratyush Nidhi Sharma; Galit Shmueli; Marko Sarstedt; Nicholas P. Danks; Soumya Ray (Decis. Sci., 2021)

Fast Forecast Reconciliation Using Linear Models. - Mahsa Ashouri; Rob J. Hyndman; Galit Shmueli (J. Comput. Graph. Stat., 2022)

Barriers to academic data science research in the new realm of algorithmic behaviour modification by digital platforms. - Travis Greene; David Martens; Galit Shmueli (Nat. Mach. Intell., 2022)

The Future Impact of AI on Academic Journals and the Editorial Process. - David G. Schwartz; Michel Avital; Sirkka L. Jarvenpaa; Kalle Lyytinen; Galit Shmueli; Dov Te'eni (ICIS, 2023)

Monetizing Explainable AI: A Double-edged Sword. - Travis Greene; Sofie Goethals; David Martens; Galit Shmueli (CoRR, 2023)

Taking the Person Seriously: Ethically Aware IS Research in the Era of Reinforcement Learning-Based Personalization. - Travis Greene; Galit Shmueli; Soumya Ray (J. Assoc. Inf. Syst., 2023)

Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue. - Travis Greene; Amit Dhurandhar; Galit Shmueli (Patterns, 2023)

Leveraging AI for Management Decision-Making (Dagstuhl Seminar 24342). - Stefan Feuerriegel; Foster J. Provost; Galit Shmueli (Dagstuhl Reports, 2024)

Transporting Causal Effects Across Populations Using Structural Causal Modeling: An Illustration to Work-from-Home Productivity. - Sujin Park; Ali Tafti; Galit Shmueli (Inf. Syst. Res., 2024)

Reimagining the Journal Editorial Process: An AI-Augmented Versus an AI-Driven Future. - Galit Shmueli; Soumya Ray (J. Assoc. Inf. Syst., 2024)

The Composite Overfit Analysis Framework: Assessing the Out-of-Sample Generalizability of Construct-Based Models Using Predictive Deviance, Deviance Trees, and Unstable Paths. - Nicholas P. Danks; Soumya Ray; Galit Shmueli (Manag. Sci., 2024)

Causal Inference Grounded in Causal Diagrams: Benefits, Limitations, and Opportunities for the Information Systems Field. - Ali Tafti; Galit Shmueli (MIS Q., 2025)

Beware of "Explanations" of AI. - David Martens; Galit Shmueli; Theodoros Evgeniou; Kevin Bauer; Christian Janiesch; Stefan Feuerriegel; Sebastian Gabel; Sofie Goethals; Travis Greene; Nadja Klein; Mathias Kraus; Niklas Kühl 001; et al. (CoRR, 2025)

From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI. - Galit Shmueli; David Martens; Jaewon Yoo; Travis Greene (CoRR, 2025)