Al-Kindi Distinguished Statistics Lectures OverviewThe Al-Kindi Distinguished Statistics Lectures are an annual event in Statistics at King Abdullah University of Science and Technology (KAUST). A distinguished guest speaker presents a series of two lectures and remains in residence for some days. The first lecture is intended to demonstrate to a general audience the breadth of use of Statistics in applications. The second lecture is intended for a specialized audience.The lectures are named after Al-Kindi (801-873 CE), a prominent figure in the House of Wisdom, whose book entitled "Manuscript on Deciphering Cryptographic Messages" is believed to be the earliest writing on Statistics. In his book, Al-Kindi gave a detailed description of how to decipher encrypted messages using Statistics and frequency analysis. This text arguably gave rise to the birth of both Statistics and cryptanalysis.Our upcoming Al-Kindi Distinguished Statistics Lectures will be presented by Prof. Mark Girolami. Date: TBA, 2025. Speakers:2025: Mark Girolami, Sir Kirby Laing Professor of Civil Engineering, University of Cambridge, UKLecture 1: TBALecture 2: TBAVideos 1 & 2, Pictures 2024: Michael I. Jordan, Pehong Chen Distinguished Professor of EECS and Statistics, UC Berkeley, USALecture 1: An Alternative View on AI: Collaborative Learning, Statistical Incentives, and Social WelfareLecture 2: On Distribution-Free Risk ControlVideos 1 & 2, Pictures 2023: Peter Rousseeuw, Emeritus Professor of Statistics, KU Leuven, BelgiumLecture 1: Detecting Cellwise Outliers in Your DataLecture 2: New Graphical Displays for ClassificationVideos 1 & 2, Pictures 2022: Susan A. Murphy, Mallinckrodt Professor of Statistics and of Computer Science, Harvard University, USALecture 1: We used Reinforcement Learning; but did it work?Lecture 2: Inference for Longitudinal Data After Adaptive SamplingVideos 1 & 2, Picture 1, Picture 2, Picture 3, Picture 4, Picture 5 2021: Peter Bühlmann, Professor of Statistics and Mathematics, ETH Zürich, SwitzerlandLecture 1: Statistical Leaning: Causal-oriented and RobustLecture 2: DeconfoundingVideos 1 & 2, Pictures 2020: Peter Diggle, Distinguished Professor, Lancaster University, UKLecture 1: Design and Analysis of Prevalence Surveys for Neglected Tropical DiseasesLecture 2: TBAVideo 1 2019: David L. Donoho, Professor of Statistics and Anne T. and Robert M. Bass Professor in the Humanities and Sciences, Stanford University, USALecture 1: Deepnet Spectra and the Two Cultures of Data ScienceLecture 2: Optimal Singular Value Thresholding in Correlated NoiseVideo 1, Picture 1, Picture 2, Picture 3, Picture 4, Picture 5, Picture 62018: Jim Berger, The Arts and Sciences Professor of Statistics, Duke University, USALecture 1: Reproducibility of Science: p-values, Multiple Testing, and Optional StoppingLecture 2: Gaussian Process Emulation of Computer Models with Massive Output Video 1, Picture 1, Picture 2, Picture 3, Picture 4, Picture 52017: Steve Marron, Amos Hawley Distinguished Professor of Statistics, UNC-Chapel Hill, USALecture 1: Object-Oriented Data AnalysisLecture 2: Object-Oriented Data Analysis of Manifold DataVideo 1, Picture 1, Picture 2, Picture 3, Picture 4, Picture 5 2016: Noel Cressie, Distinguished Professor of Statistics, University of Wollongong, AustraliaLecture 1: The Carbon ClubLecture 2: A Conditional Approach to Multivariate Spatial ModellingVideo 1, Video 2, Picture 1, Picture 2, Picture 3, Picture 4, Picture 52015: Raymond J. Carroll, Distinguished Professor and Jill and Stuart A. Harlin 83 Chair in Statistics, Texas A&M University, USALecture 1: What Percentage of Children in the U.S. are Eating an Alarmingly Poor Diet? A Statistical ApproachLecture 2: Constrained Maximum Likelihood Estimation for Model Calibration using Summary-Level Information from External Big Data SourcesVideo 1, Video 2, Picture 1, Picture 2, Picture 3, Picture 4, Picture 5
