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New challenges of statistics
July 6, 2024
Number
86
ISBN
9782848842554
Price
€24.00
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About this book

Produced in partnership with the French Statistical Society, this collection of articles offers a sample of some of the challenges facing statistical research. The diversity of its applications thus demonstrates its importance in today's world. In constant evolution, statistical methods are the basis of sophisticated techniques used by artificial intelligence, such as automatic classification or deep learning. Thus, beyond the simple description of reality, statistics can help, by modeling a situation using appropriate probabilistic formulas, to predict its plausible evolutions in the future. In the field of health, forecasting models make it possible to improve patient care, even imagining personalized medicine. In sport, analyses lead to dosing the amount of training that optimizes individual performance, predicting tournament outcomes or anticipating doping behaviors
Contents
File 1: Statistics today
Statistics is neither a science of the past nor a science of the future: it is firmly rooted in the present! The diversity of applications of statistics demonstrates its vitality and importance in today's world.
Other topics covered
Testing without error ChatGPT: a very mathematical AI Automatic classification Mixture models Towards an AI that would know how to say "I don't know" The introduction of multifractal measures in finance Statactivism, a weapon for everyone
File 2: Counting and collecting data
Statistics first consists in describing in a numerical and synthetic way a given situation. Thus, the primary role of the statistician is to proceed with counts or censuses
Other topics covered
Literary statistics by Jacques Peuchet The protection of individual data Counting demonstrators Counting squirrels and other wild animals Voting with ratings The excesses of correlation Bayesian statistics applied to dating