Search Results - "Galit, Shmueli"
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The elephant in the room: Predictive performance of PLS models
Published in Journal of business research (01-10-2016)“…Attempts to introduce predictive performance metrics into partial least squares (PLS) path modeling have been slow and fall short of demonstrating impact on…”
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Statistical Challenges Facing Early Outbreak Detection in Biosurveillance
Published in Technometrics (01-02-2010)“…Modern biosurveillance is the monitoring of a wide range of prediagnostic and diagnostic data for the purpose of enhancing the ability of the public health…”
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Barriers to academic data science research in the new realm of algorithmic behaviour modification by digital platforms
Published in Nature machine intelligence (01-04-2022)“…The era of behavioural big data has created new avenues for data science research, with many new contributions stemming from academic researchers. Yet data…”
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The COM-Poisson model for count data: a survey of methods and applications
Published in Applied stochastic models in business and industry (01-03-2012)“…The Poisson distribution is a popular distribution for modeling count data, yet it is constrained by its equidispersion assumption, making it less than ideal…”
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An Interactive Clustering-Based Visualization Tool for Air Quality Data Analysis
Published in Aerosol and Air Quality Research (01-12-2023)“…Examining PM_(2.5) (atmospheric particulate matter with a maximum diameter of 2.5 micrometers), seasonal patterns is an important research area for…”
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Automated time series forecasting for biosurveillance
Published in Statistics in medicine (30-09-2007)“…For robust detection performance, traditional control chart monitoring for biosurveillance is based on input data free of trends, day‐of‐week effects, and…”
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To Explain or to Predict?
Published in Statistical science (01-08-2010)“…Statistical modeling is a powerful tool for developing and testing theories by way of causal explanation, prediction, and description. In many disciplines…”
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Wavelet-Based Monitoring for Biosurveillance
Published in Axioms (01-09-2013)“…Biosurveillance, focused on the early detection of disease outbreaks, relies on classical statistical control charts for detecting disease outbreaks. However,…”
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The Effect of Product Assortment Changes on Customer Retention
Published in Marketing science (Providence, R.I.) (01-11-2005)“…This research investigates the impact of a large-scale assortment reduction on customer retention, utilizing a model we develop to explore the effect on sales…”
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A useful distribution for fitting discrete data: revival of the Conway-Maxwell-Poisson distribution
Published in Applied statistics (01-01-2005)“…A useful discrete distribution (the Conway-Maxwell-Poisson distribution) is revived and its statistical and probabilistic properties are introduced and…”
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Research Commentary: Too Big to Fail: Large Samples and the p-Value Problem
Published in Information systems research (01-12-2013)“…The Internet has provided IS researchers with the opportunity to conduct studies with extremely large samples, frequently well over 10,000 observations. There…”
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Early Statistical Detection of Anthrax Outbreaks by Tracking Over-the-Counter Medication Sales
Published in Proceedings of the National Academy of Sciences - PNAS (16-04-2002)“…The recent series of anthrax attacks has reinforced the importance of biosurveillance systems for the timely detection of epidemics. This paper describes a…”
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How to “improve” prediction using behavior modification
Published in International journal of forecasting (01-04-2023)“…Many internet platforms that collect behavioral big data use it to predict user behavior for internal purposes and for their business customers (e.g.,…”
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Reimagining the Journal Editorial Process: An AI-Augmented Versus an AI-Driven Future
Published in Journal of the Association for Information Systems (2024)“…The editorial process at our leading information systems journals has been pivotal in shaping and growing our field. But this process has grown long in the…”
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Rejoinder: How to “improve” prediction using behavior modification
Published in International journal of forecasting (01-04-2023)Get full text
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The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees
Published in Production and operations management (01-04-2018)“…Studying causal effects is central to research in operations management in manufacturing and services, from evaluating prevention procedures, to effects of…”
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Analyzing Behavioral Big Data: Methodological, practical, ethical, and moral issues
Published in Quality engineering (02-01-2017)“…The term "big data" evokes emotions ranging from excitement to exasperation in the statistics community. Looking beyond these emotions reveals several…”
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Research Dilemmas with Behavioral Big Data
Published in Big data (01-06-2017)“…Behavioral big data (BBD) refers to very large and rich multidimensional data sets on human and social behaviors, actions, and interactions, which have become…”
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Comment on Breiman's 'Two Cultures' (2002): From Two Cultures to Multicultural
Published in Observational studies (2021)Get full text
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