Al-Kindi Distinguished Statistics Lectures

The 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 to 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 on 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 Jim Berger, The Arts and Sciences Professor of Statistics, in Fall 2018. Lecture 1: 12:00-13:00pm. Lecture 2: 16:00-17:00pm.

Biography: TBA



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Recipients:

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2018: Jim Berger​​, The Arts and Sciences Professor of Statistics, Duke University, USA 

Lecture 1: TBA

Lecture 2: TBA

Video 1, Video 2, Picture 1, Picture 2, Picture 3, Picture 4, Picture 5

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2017: Steve Marron, Amos Hawley Distinguished Professor of Statistics, UNC-Chapel Hill, USA

Lecture 1: Object Oriented Data Analysis

Lecture 2: Object Oriented Data Analysis of Manifold Data

Video 1​, Video 2, Picture 1, Picture 2, Picture 3, Picture 4​, Picture 5​

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2016: Noel Cressie, Distinguished Professor of Statistics, University of Wollongong, Australia

Lecture 1: The Carbon Club

Lecture 2: A Conditional Approach to Multivariate Spatial Modelling​

Video 1​​, Video 2​, Picture 1, Picture 2, Picture 3, Picture 4, Picture 5​

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2015: Raymond J. CarrollDistinguished Professor and Jill and Stuart A. Harlin 83 Chair in Statistics, Texas A&M University, USA

Lecture 1: What Percentage of Children in the U.S. are Eating an Alarmingly Poor Diet? A Statistical Approach 

Lecture 2: Constrained Maximum Likelihood Estimation for Model Calibration using Summary-Level Information from External Big Data Sources

Video 1​​, Video 2​, Picture 1, Picture 2, Picture 3, Picture 4, Picture 5​