BLOG POSTS

Interval selection: a case-study-based approach

April, 9 2021 Rosa Arboretti, Riccardo Ceccato, Luca Pegoraro and Luigi Salmaso Variable selection plays a fundamental role in the…

Being the ASMBI editor-in-chief: what an experience

January 29, 2021 Fabrizio Ruggeri, ISBIS President In this issue I would like to tell you how the ASMBI Editorial…

A pragmatic view on the role of statistics and statisticians in modern data analytics

November 12, 2019 Ron S. Kenett (KPA Ltd., Raanana, Samuel Neaman Institute, Technion, Haifa and Institute for Drug Development, The…

Modern Methods for Insurance IBNR Reserve Estimation

June 26, 2019 Nathan Lally: Sr. Machine Learning Modeler @ Hartford Steam Boiler (Munich Re) Insurance is one of the…

Videos with Ron Kenett

November 20, 2018 Instead of a blog post this month, we’re sharing a few videos with Ron Kenett (KPA Ltd.,…

The Analysis of Risk in Business and Industry

October, 16 2018 Edward Melnick, Department of Information Operations and Statistics, New York University Stern School of Business Even though…

The Power and Flexibility of Bayesian Variable Selection Methods

September, 20 2018 Naveen N. Narisetty, Department of Statistics, University of Illinois at Urbana-Champaign High dimensional data are ubiquitous and…

Panel Discussion on “A Life Cycle View of Statistics” at the JSM 2018

August, 21 2018 Daniel Jeske, University of California, Riverside and David Steinberg, Tel-Aviv University A panel discussion was held on…

Impressions of ISBIS 2018

July 16, 2018 Lindsay Berry, PhD Student at Duke University The 2018 ISBIS World Meeting was recently held in Piraeus, Greece from…

Teaching Data Science in Developing Countries

June 7, 2018 Nathan Lally: Sr. Machine Learning Modeler @ Hartford Steam Boiler (Munich Re) Insurance is one of the…

A brief history of time series forecasting competitions

April 16, 2018 Rob Hyndman, Monash University Prediction competitions are now so widespread that it is often forgotten how controversial…

Statistical Models for Credit Risk in Banking

March, 18 2018 Vijay Nair I’ve been working as a “quant” in a large bank over the last two years.…

Marketing Analytics in Practice

February, 7 2018 Balaji Raman, Associate Vice President, Cogitaas AVA The term marketing analytics is quite broad, it covers a…

Data Science Challenges in Behavioral Health Care Analysis

February, 7 2018 Bonnie Ray. VP Data Science, Talkspace While applications of machine learning and data science are becoming commonplace…

Wallenius Naïve Bayes

January, 20 2018 David Steinberg One of the simplest methods for two-group classification is naïve Bayes, in which predictors are…

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference

January, 20 2018 David Steinberg This paper addresses a classical problem in causal inference: matching, where treatment units need to…

Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining

January, 20 2018 David Steinberg Yang et al. consider the application of predictive data mining techniques in Information Systems research.…

The Surprising Power of Online Experiments

January, 20 2018 David Steinberg One of the hot topics in internet commerce is A/B testing – the use of…

Perspectives from the INFORMS 2017 Annual Meeting

December, 8 2017 Tahir Ekin, McCoy College of Business, Texas State University The INFORMS Annual Meeting was held in Houston,…

Sharing WISDOM at the Women in Statistics and Data Science Conference

November, 26 2017 Kimberly F. Sellers, Department of Mathematics and Statistics, Georgetown University The 2017 Women in Statistics and Data Science…

Data Science at Alibaba

November, 16 2017 Hongxia Yang, Director & Senior Staff Data Scientist, Alibaba Group What is Data Science? And what is…

“To p or not to p” –my thoughts on the ASA Symposium on Statistical Inference

October, 24 2014 Ron S. Kenett, KPA Group, Samuel Neaman Institute, Technion and Institute for Drug Research, Hebrew University, Jerusalem,…

Using statistics and data science to build a crowdsourcing data platform

October, 13 2017 by Ankur Gupta, Machine Learning Scientist, Premise Data, San Francisco Increased internet connectivity has allowed large numbers…

Highlighting Interesting Articles that are NOT in the Statistics Literature

September, 15 2017 David Steinberg Most of us come across new ideas and interesting research by attending conferences and reading…

Time-series modeling with undecimated fully convolutional neural networks

September, 15 2017 David Steinberg This paper presents a new convolutional neural network-based time-series model. Typical convolutional neural network (CNN)…

A quality by design (QbD) case study on liposomes containing hydrophilic API

September, 15 2017 David Steinberg Quality by Design (QbD) in the pharmaceutical industry is a systematic approach to development of…

Arbitrariness of peer review: A Bayesian analysis of the NIPS experiment

September, 15 2017 David Steinberg The principle of peer review is central to the evaluation of research, by ensuring that…

Using Big Data to Understand the Human Condition: The Kavli Human Project

September, 15 2017 David Steinberg Azmak et al. introduce the Kavli HUMAN Project (KHP), a unique and ambitious attempt to…

A Bayesian Semiparametric Framework for Understanding and Predicting Customer Base Dynamics

September, 15 2017 David Steinberg Dew and Ansari look at how to automate customer analytics. This can be a crucial…

Probabilistic Segmentation via Total Variation Regularization

September, 15 2017 David Steinberg Wytock and Kolter take on a challenging problem in time series analysis – segmentation. The…

Deep Kalman Filters

September, 15 2017 David Steinberg Kalman Filters are a popular and influential approach for modeling time-varying phenomena. They admit an…

Articles about reproducible research and p-values

September, 15 2017 David Steinberg I want to devote this issue to some articles both in and outside the statistical…

Using Forum and Search Data for Sales Prediction

September, 15 2017 David Steinberg MIS Quarterly is a management and information science journal that publishes many articles that make interesting…

50 Years of Data Science

September, 15 2017 David Steinberg Data Science has become a rallying cry for universities, research organizations, and many commercial and…

Accurate estimation of influenza epidemics using Google search data

September, 15 2017 David Steinberg A 2008 (November 11) New York Times article trumpeted the success of Google Flu Trends (GFT) in…

Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks

September, 13 2017 David Steinberg A major challenge in de novo drug design is to identify molecules that are effective…

In-Process Monitoring of Selective Laser Melting

September, 13 2017 David Steinberg Data for process monitoring now comes from diverse collection and sensor modalities. Often this results…

Predictive analytics for targeted election campaigns

September, 13 2017 David Steinberg In the course of researching a paper on election surveys, I came across some fascinating…

Multivariate Industrial Time Series with Cyber-Attack Simulation

September, 1 2017 David Steinberg Industrial processes today increasingly merge physical parts with the internet-of-things. This exposure of processes makes…