Galit Shmueli

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All published works

Action	Title	Year	Authors
+ PDF Chat	Responsible forecasting: identifying and typifying forecasting harms	2024	Bahman Rostami-Tabar Travis Greene Galit Shmueli Rob J. Hyndman
+ PDF Chat	How Can <i>IJDS</i> Authors, Reviewers, and Editors Use (and Misuse) Generative AI?	2023	Galit Shmueli Bianca Maria Colosimo David Martens Rema Padman Maytal Saar‐Tsechansky Olivia R. Liu Sheng W. Nick Street Kwok‐Leung Tsui
+	Monetizing Explainable AI: A Double-edged Sword	2023	Travis Greene Sofie Goethals David Martens Galit Shmueli
+ PDF Chat	Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue	2022	Travis Greene Amit Dhurandhar Galit Shmueli
+ PDF Chat	Forks Over Knives: Predictive Inconsistency in Criminal Justice Algorithmic Risk Assessment Tools	2022	Travis Greene Galit Shmueli Jan Fell Ching-Fu Lin Han‐Wei Liu
+	How to “improve” prediction using behavior modification	2022	Galit Shmueli Ali Tafti
+	Atomist or Holist? A Diagnosis and Vision for More Productive Interdisciplinary AI Ethics Dialogue	2022	Travis Greene Amit Dhurandhar Galit Shmueli
+	A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution	2021	Suneel Babu Chatla Galit Shmueli
+	Transporting Causal Effects Across Populations Using Structural Causal Modeling: The Example of Work-From-Home Productivity	2021	Sujin Park Ali Tafti Galit Shmueli
+	Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure	2020	Ali Tafti Galit Shmueli
+	"Improving" prediction of human behavior using behavior modification	2020	Galit Shmueli
+ PDF Chat	A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution	2020	Suneel Babu Chatla Galit Shmueli
+	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	Galit Shmueli
+	Beyond Our Behavior: The GDPR and Humanistic Personalization	2020	Travis Greene Galit Shmueli
+	How to "Improve" Prediction Using Behavior Modification	2020	Galit Shmueli Ali Tafti
+	A Tree-based Semi-Varying Coefficient Model for the COM-Poisson Distribution	2020	Suneel Babu Chatla Galit Shmueli
+	Selected Topics in Statistical Computing	2020	Suneel Babu Chatla Chun‐Houh Chen Galit Shmueli
+	How Personal is Machine Learning Personalization	2019	Travis Greene Galit Shmueli
+	Lift Up and Act! Classifier Performance in Resource-Constrained Applications	2019	Galit Shmueli
+	Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure	2019	Ali Tafti Galit Shmueli
+	How Personal is Machine Learning Personalization?	2019	Travis Greene Galit Shmueli
+	Note of correction: “Conjugate Analysis of the Conway-Maxwell-Poisson Distribution”	2018	Joseph B. Kadane Galit Shmueli Thomas P. Minka Sharad Borle Peter Boatwright
+ PDF Chat	Efficient estimation of COM–Poisson regression and a generalized additive model	2017	Suneel Babu Chatla Galit Shmueli
+	The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees	2017	Galit Shmueli Inbal Yahav
+ PDF Chat	Selected topics in statistical computing	2017	Suneel Babu Chatla Chun‐Houh Chen Galit Shmueli
+ PDF Chat	Selected topics in statistical computing	2017	Suneel Babu Chatla Chun‐Houh Chen Galit Shmueli
+	Evaluating the Predictive Performance of Constructs in PLS Path Modeling	2017	Nicholas P. Danks Soumya Ray Galit Shmueli
+ PDF Chat	From Quality to Information Quality in Official Statistics	2016	Ron S. Kenett Galit Shmueli
+	Modeling Big Count Data: An IRLS Framework for CMP Regression and GAM	2016	Suneel Babu Chatla Galit Shmueli
+	An Efficient Estimation of Conway-Maxwell Poisson Regression and Additive Model with an Application to Bike Sharing	2016	Suneel Babu Chatla Galit Shmueli
+	Efficient Estimation of COM-Poisson Regression and Generalized Additive Model	2016	Suneel Babu Chatla Galit Shmueli
+	<scp>InfoQ</scp>at the study design stage	2016	Ron S. Kenett Galit Shmueli
+	Education	2016	Ron S. Kenett Galit Shmueli
+	<scp>InfoQ</scp>at the postdata collection stage	2016	Ron S. Kenett Galit Shmueli
+	Risk management	2016	Ron S. Kenett Galit Shmueli
+	Official statistics	2016	Ron S. Kenett Galit Shmueli
+	Integrating InfoQ into data science analytics programs, research methods courses, and more	2016	Ron S. Kenett Galit Shmueli
+	Bridging the Gap: A Generalized Stochastic Process for Count Data	2016	Li Zhu Kimberly F. Sellers Darcy Steeg Morris Galit Shmueli
+	Rejoinder	2016	Galit Shmueli
+	A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data	2016	Inbal Yahav Galit Shmueli Deepa Mani
+	Efficient Estimation of COM-Poisson Regression and Generalized Additive Model	2016	Suneel Babu Chatla Galit Shmueli
+	Predictive model selection in partial least squares path modeling (PLS-PM)	2015	Pratyush Midhi Sharma Galit Shmueli Marko Sarstedt Kevin H. Kim
+	Predictive model selection in partial least squares path modeling	2015	Pratyush Nidhi Sharma Marko Sarstedt Otto-von-Guericke-University Magdeburg Galit Shmueli Kevin H. Kim
+ PDF Chat	Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models	2014	Pragya Sur Galit Shmueli Smarajit Bose Paromita Dubey
+ PDF Chat	From Quality to Information Quality in Official Statistics	2014	Ron S. Kenett Galit Shmueli
+	A Generalized Stochastic Process for Count Data	2014	Li Zhu Kimberly F. Sellers Galit Shmueli
+	Tackling Simpson's Paradox in Big Data Using Classification & Regression Trees	2014	Galit Shmueli Inbal Yahav
+ PDF Chat	The Forest or the Trees? Tackling Simpson's Paradox with Classi fication and Regression Trees	2014	Galit Shmueli Inbal Yahav
+	Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models	2013	Pragya Sur Galit Shmueli Smarajit Bose Paromita Dubey
+ PDF Chat	Directionally Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance	2013	Inbal Yahav Galit Shmueli
+	Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores	2013	Inbal Yahav Galit Shmueli
+ PDF Chat	Data Dispersion: Now You See It… Now You Don't	2013	Kimberly F. Sellers Galit Shmueli
+	Fitting Com-Poisson Mixtures to Bimodal Count Data	2013	Smarajit Bose Galit Shmueli Pragya Sur Paromita Dubey
+	Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models	2013	Pragya Sur Galit Shmueli Smarajit Bose Paromita Dubey
+	Rejoinder: The COM-Poisson Model for count data: A survey of methods and applications	2012	Kimberly F. Sellers Sharad Borle Galit Shmueli
+	Outcomes Matter: Estimating Pre-Transplant Survival Rates of Kidney-Transplant Patients Using Simulation-Based Propensity Scores	2011	Inbal Yahav Galit Shmueli
+ PDF Chat	To Explain or to Predict?	2010	Galit Shmueli
+	Statistics in Practice	2010	Wolfgang Jank Galit Shmueli
+	Obtaining Online Auction Data	2010	Wolfgang Jank Galit Shmueli
+	A flexible regression model for count data	2010	Kimberly F. Sellers Galit Shmueli
+	To Explain or To Predict?	2010	Galit Shmueli
+ PDF Chat	Predicting Censored Count Data with COM-Poisson Regression	2010	Kimberly F. Sellers Galit Shmueli
+	An Elegant Method for Generating Multivariate Poisson Random Variables	2008	Inbal Yahav Robert H. Smith Galit Shmueli
+ PDF Chat	A Flexible Regression Model for Count Data	2008	Kimberly F. Sellers Galit Shmueli
+ PDF Chat	The BARISTA: A model for bid arrivals in online auctions	2007	Galit Shmueli Ralph P. Russo Wolfgang Jank
+	An Elegant Method for Generating Multivariate Poisson Data	2007	Inbal Yahav Galit Shmueli
+	Current and Potential Statistical Methods for Monitoring Multiple Data Streams for Biosurveillance	2007	Galit Shmueli Stephen E. Fienberg
+	Preparing Biosurveillance Data for Classic Monitoring	2007	Thomas Lotze Seán Murphy Galit Shmueli
+	Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurveillance	2007	Inbal Yahav Galit Shmueli
+	An Elegant Method for Generating Multivariate Poisson Random Variable	2007	Inbal Yahav Galit Shmueli
+	Accelerating statistical research in drug safety	2006	Warren B. Bilker Victor Gogolak David Goldsmith Manfred Hauben Guillermo A. Herrera Alan M. Hochberg S. J. Jolley Martin Kulldorff David Madigan Robert Nelson
+ PDF Chat	Conjugate analysis of the Conway-Maxwell-Poisson distribution	2006	Peter Boatwright Sharad Borle Joseph B. Kadane Thomas P. Minka Galit Shmueli
+ PDF Chat	A Special Issue on Statistical Challenges and Opportunities in Electronic Commerce Research	2006	Wolfgang Jank Galit Shmueli
+ PDF Chat	Functional Data Analysis in Electronic Commerce Research	2006	Wolfgang Jank Galit Shmueli
+	A Bayesian dynamics model for influenza surveillance	2006	Stephen E. Fienberg Galit Shmueli
+ PDF Chat	A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution	2004	Galit Shmueli Thomas P. Minka Joseph B. Kadane Sharad Borle Peter Boatwright
+	A unified Markov chain approach for computing the run length distribution in control charts with simple or compound rules	2003	James C. Fu Galit Shmueli Y. M. Chang
+	Computing consecutive-type reliabilities non-recursively	2003	Galit Shmueli
+	Run-Length Distribution for Control Charts with Runs and Scans Rules	2003	Galit Shmueli Ayala Cohen
+	None	2002	Galit Shmueli
+	Run-Related Probability Functions Applied to Sampling Inspection	2000	Galit Shmueli Ayala Cohen
+	Analysis and Display of Hierarchical Life-Time Data	1999	Galit Shmueli Ayala Cohen

Common Coauthors

Coauthor	Papers Together
Inbal Yahav	11
Suneel Babu Chatla	11
Ron S. Kenett	8
Kimberly F. Sellers	7
Travis Greene	5
Wolfgang Jank	5
Ali Tafti	4
Pragya Sur	4
Paromita Dubey	4
Smarajit Bose	4
Sharad Borle	4
Peter Boatwright	3
Chun‐Houh Chen	3
Joseph B. Kadane	3
Travis Greene	3
Ayala Cohen	3
Thomas P. Minka	3
Marko Sarstedt	2
Amit Dhurandhar	2
Kevin H. Kim	2
David Martens	2
Li Zhu	2
Manfred Hauben	1
Olivia R. Liu Sheng	1
Bahman Rostami-Tabar	1
Victor Gogolak	1
Otto-von-Guericke-University Magdeburg	1
Thomas Lotze	1
Jan Fell	1
Ching-Fu Lin	1
Sujin Park	1
Pratyush Midhi Sharma	1
Guillermo A. Herrera	1
Robert Nelson	1
Ralph P. Russo	1
Stephen E. Fienberg	1
Stephen E. Fienberg	1
David Madigan	1
Robert H. Smith	1
Y. M. Chang	1
James C. Fu	1
Kwok‐Leung Tsui	1
Martin Kulldorff	1
Rob Hyndman	1
S. J. Jolley	1
Pratyush Nidhi Sharma	1
Darcy Steeg Morris	1
Alan Shapiro	1
Warren B. Bilker	1
W. Nick Street	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution	2004	Galit Shmueli Thomas P. Minka Joseph B. Kadane Sharad Borle Peter Boatwright	14
+	A flexible regression model for count data	2010	Kimberly F. Sellers Galit Shmueli	8
+ PDF Chat	Data Dispersion: Now You See It… Now You Don't	2013	Kimberly F. Sellers Galit Shmueli	6
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	5
+ PDF Chat	Causal Inference for Statistics, Social, and Biomedical Sciences	2015	Guido W. Imbens Donald B. Rubin	5
+	Optimal scaling for risk assessment: merging of operational and financial data	2010	Silvia Figini Ron S. Kenett Silvia Salini	4
+	Causal diagrams for empirical research	1995	Judea Pearl	4
+	Cross-Validatory Choice and Assessment of Statistical Predictions	1974	M. Stone	4
+ PDF Chat	Conjugate analysis of the Conway-Maxwell-Poisson distribution	2006	Peter Boatwright Sharad Borle Joseph B. Kadane Thomas P. Minka Galit Shmueli	4
+ PDF Chat	Linear Smoothers and Additive Models	1989	Andreas Buja Trevor Hastie Robert Tibshirani	4
+	An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data	2010	Yufeng Ding Jeffrey S. Simonoff	3
+	None	1997	Jerome H. Friedman	3
+	Conceptual thinking in national statistics offices	2012	Sharleen Forbes Denise V. Brown	3
+	Restricted generalized poisson regression model	1993	Felix Famoye	3
+	Counterfactuals and Causal Inference	2014	Stephen L. Morgan Christopher Winship	3
+	Negative binomial regression	2007	Joseph M. Hilbe	3
+ PDF Chat	Boosting Algorithms: Regularization, Prediction and Model Fitting	2007	Peter Bühlmann Torsten Hothorn	3
+	External Validity: From Do-Calculus to Transportability Across Populations	2014	Judea Pearl Elias Bareinboim	3
+	How to Tell When Simpler, More Unified, or Less<i>Ad Hoc</i>Theories will Provide More Accurate Predictions	1994	Marc R. Forster Elliott Sober	3
+	Understanding and misunderstanding randomized controlled trials	2017	Angus Deaton Nancy Cartwright	3
+	An Introduction to the Bootstrap	1994	Bradley Efron Robert Tibshirani	3
+ PDF Chat	The Timing of Bid Placement and Extent of Multiple Bidding: An Empirical Investigation Using eBay Online Auctions	2006	Sharad Borle Peter Boatwright Joseph B. Kadane	3
+	Encyclopedia of Statistics in Quality and Reliability	2007	editors-in-chief Fabrizio Ruggeri Ron S. Kenett Frederick W. Faltin	3
+	Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores	2013	Inbal Yahav Galit Shmueli	3
+	Some Aspects of the Spline Smoothing Approach to Non-Parametric Regression Curve Fitting	1985	B. W. Silverman	3
+	Generalized Additive Models: An Introduction with R, Second Edition	2017	Simon N. Wood	3
+ PDF Chat	Principles alone cannot guarantee ethical AI	2019	Brent Mittelstadt	3
+ PDF Chat	Unbiased Recursive Partitioning: A Conditional Inference Framework	2006	Torsten Hothorn Kurt Hornik Achim Zeileis	3
+	PREDICTIVE VALIDITY AND FORMATIVE MEASUREMENT IN STRUCTURAL EQUATION MODELING : EMBRACING PRACTICAL RELEVANCE	2013	Jan-Michael Becker Arun Rai Edward E. Rigdon	3
+ PDF Chat	Causal inference and the data-fusion problem	2016	Elias Bareinboim Judea Pearl	3
+	How Likely Is Simpson’s Paradox?	2009	Marios Pavlides Michael D. Perlman	3
+ PDF Chat	Bounds on Treatment Effects from Studies with Imperfect Compliance	1997	Alexander Balke Judea Pearl	3
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	3
+ PDF Chat	Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)	2001	Leo Breiman	3
+	Run-Related Probability Functions Applied to Sampling Inspection	2000	Galit Shmueli Ayala Cohen	3
+ PDF Chat	Model-Based Recursive Partitioning	2008	Achim Zeileis Torsten Hothorn Kurt Hornik	3
+	A review of multivariate control charts	1995	Cynthia A. Lowry Douglas C. Montgomery	2
+	Interaction Effects in Logistic Regression	2001	James Jaccard	2
+	A PREDICTIVE APPROACH TO MODEL SELECTION AND MULTICOLLINEARITY	1997	Edward Greenberg Robert P. Parks	2
+ PDF Chat	Statistical methods with varying coefficient models	2008	Jianqing Fan Wenyang Zhang	2
+	None	2000	Jin Tian Judea Pearl	2
+	Change-point problem and bootstrap	1995	Jaromı́r Antoch Marie Hušková Noël Veraverbeke	2
+	Limit theorems for multivariate discrete distributions	1998	Frank Krummenauer	2
+	An alternative method of cross-validation for the smoothing of density estimates	1984	Adrian Bowman	2
+	Rejoinder	2014	Guido W. Imbens	2
+	New Important Developments in Small Area Estimation	2013	Danny Pfeffermann	2
+ PDF Chat	Statistical Learning from a Regression Perspective	2016	Richard A. Berk	2
+ PDF Chat	Scientific Method, Statistical Method and the Speed of Light	2000	Robert J. MacKay R. Wayne Oldford	2
+	Bias due to missing exposure data using complete‐case analysis in the proportional hazards regression model	2003	Serkalem Demissie Michael P. LaValley Nicholas J. Horton Robert J. Glynn L. Adrienne Cupples	2
+ PDF Chat	Improving propensity score weighting using machine learning	2009	Brian K. Lee Justin Lessler Elizabeth A. Stuart	2