April, 9 2021 Rosa Arboretti, Riccardo Ceccato, Luca Pegoraro and Luigi Salmaso Variable selection plays a fundamental role in the analysis of data containing several variables which are redundant or irrelevant to the problem of interest. The ability to identify and discard these variables would make it possible to improve predictive performances and data interpretation,
January 29, 2021 Fabrizio Ruggeri, ISBIS President In this issue I would like to tell you how the ASMBI Editorial team works. Some of you have editorial experiences and their advice would be very valuable if they will have some suggestions after reading my notes. All of you have experience about submissions of papers to
November 12, 2019 Ron S. Kenett (KPA Ltd., Raanana, Samuel Neaman Institute, Technion, Haifa and Institute for Drug Development, The Hebrew University, Jerusalem) Note: This is an updated version of an older post put on Professor Kenett’s LinkedIn. I have been following and contributing to two interesting blogs in the past year or so discussing various aspects of
June 26, 2019 Nathan Lally: Sr. Machine Learning Modeler @ Hartford Steam Boiler (Munich Re) Insurance is one of the few industries where the cost of the product is not known when it is priced for sale. To determine the rate for a policy, the insurer must predict the future claims for that policy. To
November 20, 2018 Instead of a blog post this month, we’re sharing a few videos with Ron Kenett (KPA Ltd., Raanana, Samuel Neaman Institute, Technion, Haifa and Institute for Drug Development, The Hebrew University, Jerusalem). Click links to see videos: Quality Assurance in the Golden Age of Analytics The Real Work of Data Science: How
October, 16 2018 Edward Melnick, Department of Information Operations and Statistics, New York University Stern School of Business Even though risk is ubiquitous in business and industry, it has a multiplicity of meanings in the realm of statistics. One definition on the internet is “the probability of a negative impact to an asset or some
September, 20 2018 Naveen N. Narisetty, Department of Statistics, University of Illinois at Urbana-Champaign High dimensional data are ubiquitous and are encountered on a regular basis by statistical scientists both in academia and in industry. A majority of the early research in statistics dealt with the settings where there are just a few covariates. With
August, 21 2018 Daniel Jeske, University of California, Riverside and David Steinberg, Tel-Aviv University A panel discussion was held on July 31, 2018, at the Joint Statistical Meetings held in Vancouver, Canada, on the theme “A Life Cycle View of Statistics”. The panelists were John Peterson, Laura Freeman, Ron Kenett and Vijay Nair, and the
July 16, 2018 Lindsay Berry, PhD Student at Duke University The 2018 ISBIS World Meeting was recently held in Piraeus, Greece from July 4-6, 2018. Along with ISBA, held the week before in Edinburgh, Scotland, this was my first time attending a conference outside of the United States. As a third year PhD student in Statistical Science
June 7, 2018 Nathan Lally: Sr. Machine Learning Modeler @ Hartford Steam Boiler (Munich Re) Insurance is one of the few industries where the cost of the product is not known when it is priced for sale. To determine the rate for a policy, the insurer must predict the future claims for that policy. To