Blog

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, thus reducing costs and computational time. Although many methods have been proposed for feature selection, in some fields there is

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 a journal. First of all, you identify the field to which your paper pertains, then look at possible venues and

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 statistical inference and statistical analysis. These are: https://statmodeling.stat.columbia.edu/ by Andrew Gelman https://errorstatistics.com/ by Deborah Mayo Based on this, I am developing a

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 predict those future claims, insurers use past claims from similar policies. Ideally, the most recently written policies will closely match

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 to Turn Data into Information, Better Decisions, and Stronger Organizations