Paper: Testing in Additive and Projection Pursuit Models

Paper: A Bias-Corrected Approach to Rotnitzky-Jewell Criteria for Appropriate Correlation Structure Selection in Generalized Estimating Equations

Paper: Robust logistic quantile regression models using skewed heavy-tailed distributions

Paper: Modelling time series of counts with deflation or inflation of zeros

Paper: Intra household resource allocation and gender relation in Côte d’Ivoire : a way for facing non inclusive growth situation

Paper: Modeling the Financial Market Indicators with Semiparametric Volatility Model with Varying Frequency

Paper: Prediction Interval of Air Pollutants Concentration by Nonparametric Regression Analysis

Paper: Prediction Interval of Air Pollutants Concentration by Nonparametric Regression Analysis

He is selected as the recipient of the 2021 ISI Founders of Statistics Prize for his 1996 paper on ‘Regression Shrinkage and Selection via the LASSO’, published in the Journal of the Royal Statistical Society Series B, pp. 267-288. Robert Tibshirani is Professor of Biomedical Science and Statistics at Stanford University.

The Lasso paper (Tibshirani, 1996) has had 37,360 citations as of late January 2021 indicating its wide influence across statistics, data science, computer science and broadly in Science, Business and Economics. As we are faced with large and more complex data sets, the Lasso will continue to provide the basic underpinning for developments to handle such data. One reason for the paper’s impact is the clarity with which the paper is written with thorough and clear explanations of the method both analytically and geometrically. In statistics, biostatistics and machine learning, the Lasso (least absolute shrinkage and selection operator) is a regression analysis method that performs both variable selection and regularization in order to enhance the prediction accuracy and interpretability of the resulting statistical model. The Lasso is really the cornerstone of many modern methods of statistics and data science.

The contribution recognized by the Founders of Statistics Prize must be a research article or book published within the last three decades. Each Founders of Statistics (formerly known as Karl Pearson Prize) Award selection committee comprises renowned statisticians from across the world. The prize is given biennially, at the ISI World Statistics Congress (WSC), starting with the WSC in Hong Kong in August 2013. ISI is grateful to Elsevier Publishers for their ongoing sponsorship of the Prize.