G. Shmueli

发表

Evaluating the Predictive Performance of Composites in PLS Path Modeling

Soumya Ray, Galit Shmueli, Nicholas Danks, 2017 .

The Effect of Product Assortment Changes on Customer Retention

Joseph C. Nunes, J. Kadane, Peter Boatwright, 2005 .

The Challenge of Prediction in Information Systems Research

G. Shmueli, O. Koppius, 2009 .

Real-Time Forecasting of Online Auctions via Functional K-Nearest Neighbors

Wolfgang Jank, G. Shmueli, Shu Zhang, 2009 .

A unified Markov chain approach for computing the run length distribution in control charts with simple or compound rules

Galit Shmueli, J. Fu, G. Shmueli, 2003 .

Modelling price paths in on‐line auctions: smoothing sparse and unevenly sampled curves by using semiparametric mixed models

Wolfgang Jank, Gerhard Tutz, Galit Shmueli, 2008 .

The future of PLS path modeling: prediction or explanation?

Wynne W. Chin, Jörg Henseler, Theo K. Dijkstra, 2015 .

Data Mining in Excel: Lecture Notes and Cases

Galit Shmueli, G. Shmueli, 2005 .

Current and Potential Statistical Methods for Monitoring Multiple Data Streams for Biosurveillance

Stephen E. Fienberg, Galit Shmueli, S. Fienberg, 2006 .

Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores

G. Shmueli, I. Yahav, 2012, Annals of Operations Research.

Tree-based methods for clustering time series using domain-relevant attributes

Galit Shmueli, Mahsa Ashouri, Chor-Yiu Sin, 2019, Journal of Business Analytics.

Data Dispersion: Now You See It… Now You Don't

Kimberly F. Sellers, G. Shmueli, 2013 .

A Useful Distribution for Fitting Discrete Data: Revival of the COM-Poisson

Sharad Borle, Galit Shmueli, Peter Boatwright, 2003 .

Fast Forecast Reconciliation Using Linear Models

Rob J Hyndman, Galit Shmueli, Mahsa Ashouri, 2021, J. Comput. Graph. Stat..

The elephant in the room: Predictive performance of PLS models

Galit Shmueli, Soumya Ray, Juan Manuel Velasquez Estrada, 2016 .

The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees

Inbal Yahav, Galit Shmueli, G. Shmueli, 2018 .

The Elephant in the Room: Evaluating the Predictive Performance of Partial Least Squares (PLS) Path Models

Galit Shmueli, Soumya Ray, Juan Velasquez Estrada, 2015 .

Mitigating the optical depth degeneracy in the cosmological measurement of neutrino masses using 21-cm observations

G. Shmueli, Debanjan Sarkar, E. Kovetz, 2023, 2305.07056.

Modelling concurrency of events in on‐line auctions via spatiotemporal semiparametric models

Wolfgang Jank, Galit Shmueli, Wolfgang Jank, 2007 .

Simulating and Evaluating Biosurveillance Datasets

Inbal Yahav, Galit Shmueli, Thomas Lotze, 2008 .

Bridging the Gap: A Generalized Stochastic Process for Count Data

Kimberly F. Sellers, G. Shmueli, D. S. Morris, 2017 .

A Bayesian dynamics model for influenza surveillance

Stephen E. Fienberg, Galit Shmueli, S. Fienberg, 2006 .

How does improved forecasting benefit detection? An application to biosurveillance

Galit Shmueli, Thomas Lotze, G. Shmueli, 2009 .

Comment on Breiman's "Two Cultures" (2002): From Two Cultures to Multicultural

G. Shmueli, 2021, Observational Studies.

Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel(r) with Xlminer(tm) + Making Sense of Data Set

Glenn J. Myatt, Galit Shmueli, Nitin R. Patel, 2008 .

An Efficient Estimation of Conway-Maxwell Poisson Regression and Additive Model with an Application to Bike Sharing

G. Shmueli, S. Chatla, 2016 .

To Explain or To Predict?

G. Shmueli, 2010, 1101.0891.

Analysis and Display of Hierarchical Life-Time Data

A. Cohen, G. Shmueli, 1999 .

To Explain or To Predict?

Galit Shmueli, Galit Shmueli, G. Shmueli, 2010, 1101.0891.

Algorithm Combination for Improved Performance in Biosurveillance

Inbal Yahav, Galit Shmueli, Thomas Lotze, 2010, Infectious Disease Informatics and Biosurveillance.

The Composite Overfit Analysis Framework: Assessing the Out-of-Sample Generalizability of Construct-Based Models Using Predictive Deviance, Deviance Trees, and Unstable Paths

Soumya Ray, N. Danks, G. Shmueli, 2023, Management Science.

Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurveillance

Inbal Yahav, Galit Shmueli, G. Shmueli, 2007 .

A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution

Galit Shmueli, Suneel Babu Chatla, G. Shmueli, 2020, 2004.11810.

To Explain or To Predict?

G. Shmueli, 2010, 1101.0891.