Galit Shmueli
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Galit Shmuelimathematics Degrees
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#6615
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#9130
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Statistics
#660
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#745
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Measure Theory
#2213
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#2660
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Galit Shmuelicommunications Degrees
Communications
#6941
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#9507
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#1253
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#1577
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Mathematics Communications
Galit Shmueli's Degrees
- PhD Information Systems University of Connecticut
- Masters Statistics University of Connecticut
Why Is Galit Shmueli Influential?
(Suggest an Edit or Addition)According to Wikipedia, Galit Shmueli is a data scientist who works in Taiwan as Tsing Hua Distinguished Professor at the Institute of Service Science, National Tsing Hua University. She is the author of many textbooks in business statistics and is known for her work on information quality, and on clarifying the difference between explanations and predictions in statistical analyses.
Galit Shmueli's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- To Explain or to Predict (2011) (1745)
- Predictive model assessment in PLS-SEM: guidelines for using PLSpredict (2019) (798)
- Research Commentary - Too Big to Fail: Large Samples and the p-Value Problem (2013) (752)
- Predictive Analytics in Information Systems Research (2010) (670)
- The elephant in the room: Predictive performance of PLS models (2016) (582)
- A useful distribution for fitting discrete data: revival of the Conway–Maxwell–Poisson distribution (2005) (487)
- To Explain or To Predict? (2010) (422)
- A Flexible Regression Model for Count Data (2008) (222)
- The Effect of Product Assortment Changes on Customer Retention (2005) (201)
- Early statistical detection of anthrax outbreaks by tracking over-the-counter medication sales (2002) (200)
- Statistical Challenges Facing Early Outbreak Detection in Biosurveillance (2010) (188)
- The COM-Poisson model for count data: a survey of methods and applications (2012) (156)
- Automated time series forecasting for biosurveillance (2007) (145)
- Prediction-Oriented Model Selection in Partial Least Squares Path Modeling (2018) (119)
- Explaining and Forecasting Online Auction Prices and Their Dynamics Using Functional Data Analysis (2008) (117)
- Conjugate Analysis of the Conway-Maxwell-Poisson Distribution (2006) (114)
- Consumer Surplus in Online Auctions (2007) (110)
- Price formation and its dynamics in online auctions (2008) (106)
- Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner (2016) (94)
- PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research (2019) (90)
- On Generating Multivariate Poisson Data in Management Science Applications (2009) (88)
- Functional Data Analysis in Electronic Commerce Research (2006) (88)
- One-Way Mirrors in Online Dating: A Randomized Field Experiment (2016) (86)
- Statistical issues and challenges associated with rapid detection of bio‐terrorist attacks (2005) (85)
- Similarity-Based Forecasting with Simultaneous Previews: A River Plot Interface for Time Series Forecasting (2007) (69)
- On information quality (2012) (66)
- Fundamentals of Clinical Trials, 4th edition (2012) (66)
- The BARISTA: A model for bid arrivals in online auctions (2007) (63)
- Representing Unevenly-Spaced Time Series Data for Visualization and Interactive Exploration (2005) (63)
- Current and Potential Statistical Methods for Monitoring Multiple Data Streams for Biosurveillance (2006) (61)
- Visualizing Online Auctions (2005) (60)
- Exploring auction databases through interactive visualization (2006) (59)
- Run-Length Distribution for Control Charts with Runs and Scans Rules (2003) (58)
- A Useful Distribution for Fitting Discrete Data: Revival of the COM-Poisson (2003) (53)
- A unified Markov chain approach for computing the run length distribution in control charts with simple or compound rules (2003) (47)
- Information Quality: The Potential of Data and Analytics to Generate Knowledge (2016) (46)
- Run-Related Probability Functions Applied to Sampling Inspection (2000) (43)
- Data Dispersion: Now You See It… Now You Don't (2013) (40)
- Profiling Price Dynamics in Online Auctions Using Curve Clustering (2005) (38)
- Modeling Online Auctions (2010) (35)
- Real-Time Forecasting of Online Auctions via Functional K-Nearest Neighbors (2009) (32)
- Modeling Price Dynamics in eBay Auctions Using Differential Equations (2008) (32)
- Clarifying the terminology that describes scientific reproducibility (2015) (32)
- Investigating Concurrency in Online Auctions Through Visualization (2006) (31)
- Modeling Bid Arrivals in Online Auctions (2004) (31)
- Studying Heterogeneity of Price Evolution in eBay Auctions via Functional Clustering (2006) (30)
- Implementation and Comparison of Preprocessing Methods for Biosurveillance Data (2008) (26)
- Research Dilemmas with Behavioral Big Data (2017) (26)
- Modeling Price Dynamics in eBay Auctions Using Principal Differential Analysis (2006) (25)
- Modelling concurrency of events in on‐line auctions via spatiotemporal semiparametric models (2007) (24)
- A Data Disclosure Policy for Count Data Based on the COM-Poisson Distribution (2006) (24)
- One-Way Mirrors and Weak-Signaling in Online Dating: A Randomized Field Experiment - Online E-Companion Appendix (2013) (24)
- Analyzing Behavioral Big Data: Methodological, practical, ethical, and moral issues (2016) (23)
- Simulating Multivariate Syndromic Time Series and Outbreak Signatures (2007) (23)
- Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers (2019) (22)
- Dynamic, real-time forecasting of online auctions via functional models (2006) (22)
- A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data (2015) (22)
- Modelling price paths in on‐line auctions: smoothing sparse and unevenly sampled curves by using semiparametric mixed models (2008) (21)
- Preparing Biosurveillance Data for Classic Monitoring (2007) (20)
- Data Mining (2007) (19)
- Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel(r) with Xlminer(tm) + Making Sense of Data Set (2008) (18)
- Wavelet-Based Monitoring in Modern Biosurveillance (2005) (18)
- Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models (2013) (18)
- Data Mining in Excel: Lecture Notes and Cases (2005) (17)
- Modeling Concurrency of Events in Online Auctions via Spatio-Temporal Semiparametric Models (2005) (17)
- Algorithm Combination for Improved Performance in Biosurveillance Systems (2007) (17)
- The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees (2018) (15)
- The Elephant in the Room: Evaluating the Predictive Performance of Partial Least Squares (PLS) Path Models (2015) (15)
- Bridging the Gap: A Generalized Stochastic Process for Count Data (2017) (15)
- An Extensive Examination of Regression Models with a Binary Outcome Variable (2017) (15)
- Using grocery sales data for the detection of bio-terrorist attacks (2002) (14)
- A family of growth models for representing the price process in online auctions (2007) (14)
- Modeling Online Auctions: Jank/Modeling Online Auctions (2010) (14)
- Efficient estimation of COM-Poisson regression and a generalized additive model (2016) (14)
- The Challenge of Prediction in Information Systems Research (2009) (14)
- Predicting Censored Count Data with COM-Poisson Regression (2010) (14)
- Linear Probability Models (LPM) and Big Data: The Good, the Bad, and the Ugly (2016) (14)
- Simulating and Evaluating Biosurveillance Datasets (2008) (13)
- Maximizing bidder surplus in simultaneous online art auctions via dynamic forecasting (2011) (13)
- Directionally Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance (2014) (13)
- Visualizing Functional Data with an Application to eBay’s Online Auctions (2008) (13)
- Getting Started with Business Analytics: Insightful Decision-Making (2013) (12)
- Too Big to Fail: Larger Samples and False Discoveries (2011) (12)
- Forecasting eBay ’ s Online Auction Prices using Functional Data Analysis (2004) (11)
- An Elegant Method for Generating Multivariate Poisson Random Variables (2007) (11)
- Computing consecutive-type reliabilities nonrecursively (2003) (10)
- A Regression Model for Count Data with Observation-Level Dispersion (2009) (10)
- Dynamic Price Forecasting in Simultaneous Online Art Auctions (2010) (9)
- Helping authors and reviewers ask the right questions: The InfoQ framework for reviewing applied research (2016) (9)
- Forecasting Online Auctions using Dynamic Models (2010) (8)
- Barriers to academic data science research in the new realm of algorithmic behaviour modification by digital platforms (2022) (8)
- From Quality to Information Quality in Official Statistics (2014) (8)
- Tree-based methods for clustering time series using domain-relevant attributes (2019) (8)
- How does improved forecasting benefit detection? An application to biosurveillance (2009) (7)
- Models of Bidder Activity Consistent with Self‐Similar Bid Arrivals (2008) (7)
- Smoothing sparse and unevenly sampled curves using semiparametric mixed models: An application to online auctions (2006) (7)
- A flexible model for estimating price dynamics in on‐line auctions (2010) (7)
- Evaluating the Predictive Performance of Composites in PLS Path Modeling (2017) (7)
- Algorithm Combination for Improved Performance in Biosurveillance (2010) (7)
- Ensemble Forecasting for Disease Outbreak Detection (2008) (6)
- Predictive model selection in partial least squares path modeling (PLS-PM) (2015) (6)
- Lift Up and Act! Classifier Performance in Resource-Constrained Applications (2019) (6)
- Sampling eCommerce Data from the Web: Methodological and Practical Issues (2006) (6)
- The Hidden Inconsistencies Introduced by Predictive Algorithms in Judicial Decision Making (2020) (6)
- Accelerating statistical research in drug safety (2006) (5)
- Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores (2014) (5)
- Wavelet-Based Monitoring for Biosurveillance (2013) (5)
- Statistical Challenges in eCommerce: Modeling Dynamic and Networked Data (2008) (5)
- The Forest or the Trees? Tackling Simpson's Paradox with Classi fication and Regression Trees (2014) (5)
- An Elegant Method for Generating Multivariate Poisson Data (2007) (4)
- An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies (2013) (4)
- System-Wide Probabilities for Systems with Runs and Scans Rules (2002) (4)
- Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure (2019) (4)
- PREDICTIVE ANALYTICS IN INFORMATION SYSTEMS RESEARCH 1 (2011) (4)
- "Improving" prediction of human behavior using behavior modification (2020) (4)
- A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution (2020) (4)
- Does Growing Demand for Data Science Create New Opportunities for Information Systems? (2014) (4)
- Fitting Com-Poisson Mixtures to Bimodal Count Data (2013) (3)
- What is Predictive about Partial Least Squares ? (2011) (3)
- On the relationship between forecast accuracy and detection performance: An application to biosurveillance (2008) (3)
- A Special Issue on Statistical Challenges and Opportunities in Electronic Commerce Research (2006) (3)
- Transformations for Semi-Continuous Data (2006) (3)
- Testing Theories with Big Data : A SuperPower Approach (2012) (2)
- Modeling Dynamics in Online Auctions: A Modern Statistical Approach (2014) (2)
- Dimensions of information quality and InfoQ assessment (2016) (2)
- Analyzing the Impact of GDPR on Data Scientists Using the InfoQ Framework (2018) (2)
- A special issue on: Actual impact and future perspectives on stochastic modelling in business and industry (2015) (2)
- Models for Bid Arrivals and Bidder Arrivals in Online Auctions (2010) (2)
- Measuring Consumer Surplus on eBay: An Empirical Study (2007) (2)
- Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurveillance (2007) (1)
- Differential Equation Trees to Model Price Dynamics in Online Auctions (2008) (1)
- SOABER: An Innovative Approach to Maximize Bidder Surplus in Simultaneous Online Art Auctions (2010) (1)
- Selected topics in statistical computing (2017) (1)
- The Forest or the Trees ? Tackling Simpson ' s Paradox in Big Data Using Trees (2014) (1)
- How to “improve” prediction using behavior modification (2020) (1)
- Impact Assessment in Observational Studies: A Classification and Regression Tree Approach (2013) (1)
- Rejoinder: The COM-Poisson Model for count data: A survey of methods and applications (2012) (1)
- Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue (2022) (1)
- Linear Probability Models in Information Systems Research (2014) (1)
- Assessing the Value of an Information System for Developing Predictive Analytics: The Case of Forecasting School-Level Demand in Taiwan (2018) (1)
- How Personal is Machine Learning Personalization? (2019) (1)
- Seeing Humans in the Data: Ethical Blind Spots of Taiwan Academic Researchers in the Era of Behavioral Big Data (2021) (1)
- Analysis and Display of Hierarchical Life-Time Data (1999) (1)
- Fast Forecast Reconciliation Using Linear Models (2021) (1)
- ALGORITHM COMBINATION FOR IMPROVED (2011) (1)
- Data-Adaptive Multivariate Control Charts for Routine Health Monitoring (2006) (1)
- An Efficient Estimation of Conway-Maxwell Poisson Regression and Additive Model with an Application to Bike Sharing (2016) (1)
- INFORMS Journal on Data Science (IJDS) Editorial #1: What Is an IJDS Paper? (2021) (1)
- Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores (2012) (1)
- Forks over knives: Predictive inconsistency in criminal justice algorithmic risk assessment tools (2020) (0)
- Beauty Is in the Eye of the (Data) Beholder: Behavioral Researchers' Dilemmas Using Behavioral Big Data (2017) (0)
- Rejoinder: How to “improve” prediction using behavior modification (2023) (0)
- A Generalized Stochastic Process for Count Data (2014) (0)
- A Deep Learning Approach To Bank Direct Marketing (2018) (0)
- Monetizing Explainable AI: A Double-edged Sword (2023) (0)
- On therelationship betweenforecast accuracyand detection performance: An application tobiosurveillance (2008) (0)
- Reply (2017) (0)
- Modeling the Dynamics of Online Auctions Using a Functional Data Analytic Approach (2005) (0)
- Transporting Causal Effects Across Populations Using Structural Causal Modeling: The Example of Work-From-Home Productivity (2021) (0)
- Congratulations, It’s Our Inaugural Issue! (2022) (0)
- InfoQ at the postdata collection stage (2016) (0)
- A Bayesian dynamics model for influenza surveillance (2006) (0)
- Statistical Inference with Large (eCommerce) Datasets (2008) (0)
- Note of correction: “Conjugate Analysis of the Conway-Maxwell-Poisson Distribution” (2018) (0)
- Statistics in Practice (2010) (0)
- Analysing Large Collections of Time Series (NII Shonan Meeting 2018-3) (2018) (0)
- Beyond Our Behavior: The GDPR and Humanistic Personalization (2020) (0)
- Bridging Medical Research and Clinical Work by Evaluating Predictive Ability (2019) (0)
- Chapter # ALGORITHM COMBINATION FOR IMPROVED PERFORMANCE IN BIOSUVEILLANCE Algorithms Combination for Improved Surveillance (2009) (0)
- Galit Shmueli (2019) (0)
- Barriers for Academic Data Science Research in the New Realm of Behavior Modification by Digital Platforms (2021) (0)
- Data Mining For Business Intelligence Answer (2014) (0)
- The Composite Overfit Analysis Framework: Assessing the Out-of-Sample Generalizability of Construct-Based Models Using Predictive Deviance, Deviance Trees, and Unstable Paths (2023) (0)
- An Evaluation of Wavelet-Based Techniques for Prediction and Anomaly Detection in Univariate Syndromic Data (2006) (0)
- Rejoinder (2017) (0)
- InfoQ in review processes of scientific publications (2016) (0)
- The future of PLS path modeling: prediction or explanation? (2015) (0)
- ALGORITHM COMBINATION FOR IMPROVED 2 PERFORMANCE IN BIOSURVEILLANCE 3 Algorithm Combination for Improved Surveillance 4 (2010) (0)
- 16. InfoQ support with JMP (2016) (0)
- Discussion on “Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test” by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow (2020) (0)
- InfoQ and reproducible research (2016) (0)
- Tackling Simpson's Paradox in Big Data using Classification & Regression Trees (2014) (0)
- Modeling Big Count Data: An IRLS Framework for CMP Regression and GAM (2016) (0)
- Comment on Breiman's "Two Cultures" (2002): From Two Cultures to Multicultural (2021) (0)
- Introduction to information quality (2016) (0)
- Social Networking Break Day 1: Yoga with Galit Shmueli (2020) (0)
- Integrating InfoQ into data science analytics programs, research methods courses, and more (2016) (0)
- Forecasting Online Auctions (2010) (0)
- 4. InfoQ at the study design stage (2016) (0)
- Obtaining Online Auction Data (2010) (0)
- Modeling Online Auction Data (2010) (0)
- How SCM Causal Diagrams Differ from PLS-PM and CB-SEM Path Diagrams (2022) (0)
- Exploring Online Auction Data (2010) (0)
- Quality of goal, data quality, and analysis quality (2016) (0)
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Galit Shmueli is affiliated with the following schools:
