mathematics

Paris Institute of Statistics

Paris Institute of Statistics is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Paris Institute of Statistics rather than just read about it. In short: Institut de Statistique de l'Université de Paris (ISUP, roughly translated as "Paris Institute of Statistics" or literally to "Institute of Statistics of the University of Paris") is a graduate school of statistics based in Paris, in the fifth arrondissement. It offers specializations in actuarial sciences (finance and insurance), biostatistics as well as industry and services.

Paris Institute of Statistics — illustration

Key takeaways

Paris Institute of Statistics belongs to mathematics; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Paris Institute of Statistics to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Paris Institute of Statistics from memory before moving on to harder problems.

Reference excerpt

Institut de Statistique de l'Université de Paris (ISUP, roughly translated as "Paris Institute of Statistics" or literally to "Institute of Statistics of the University of Paris") is a graduate school of statistics based in Paris, in the fifth arrondissement. It offers specializations in actuarial sciences (finance and insurance), biostatistics as well as industry and services. Founded in 1922 by the mathematician Émile Borel, it is the oldest and one of the most prestigious schools for statistics in France. Since 2018, the institute is affiliated to Sorbonne University and located on the campus of Jussieu.

History The ISUP is the oldest training statistics in France: it was founded in 1922 (by the mathematician Émile Borel) 20 years before the ENSAE Paris. At the end of the Great War, Émile Borel, one of the greatest mathematicians of his time, was appointed to the Chair of Probability and Mathematical Physics at the University of Paris. So at this time, there is almost no teaching of statistics and the idea of applying mathematics to any specific field arouses contempt "real" mathematicians. Borel is confident that in economy - in Insurance, in particular - there is a demand. This intuition is the basis for the creation of the ISUP 1922. During the thirty years that followed, under the leadership of mathematical leaders, ISUP will initiate the introduction in France, the teaching of statistics and industrial applications, management or Operational Research.

Modern history The current headmaster is Olivier Lopez. Among teachers, traditionally shared with the University of Paris VI or with some ESSEC (partner school) or Dauphine (other actuarial school), several have a worldwide reputation for their research. These include Jean Jacod (the Franco-German Science Award 2008), Paul Deheuvels (a member of the Academy of Sciences), Gérard Biau (2003 prices young statistician of the French Society of Statistics). On its website, the administration announced that it received 1,064 job offers in 2007, it represents more than 20 offers per student. The average compensation for hiring students ISUP makes the ISUP among major French schools that offer the best remuneration.

Notable people from ISUP Émile Borel, Academician, fondator and first director Maurice Allais, Nobel Prize for Economics 1988, professor at l'ISUP during 21 years Georges Darmois, Academician, former director Daniel Dugué, Academician, former director, author for Encyclopædia Universalis (Calculation of probability) Jean-Paul Benzécri, Normalien, professor at ISUP, initiator of Data analysis Paul Deheuvels, Academician, currently professor Dominique Strauss-Kahn, former Director of International Monetary Fund, former student. Nicholas Georgescu-Roegen, Romanian mathematician, statistician and economist, progenitor of Ecological economics, former student.

See also Pierre and Marie Curie University Institute of Actuaries of France Society of actuaries

References

External links Official website Alumni website Site du LSTA Archived 2008-06-26 at the Wayback Machine, LSTA website Laurent Mazliak (2010) Borel, Fréchet, Darmois: La découverte des statistiques par les probabilistes français. Journal Electronique d'Histoire des Probabilités et de la Statistique December.

Illustrations

Worked examples

Example 1 — a first encounter with Paris Institute of Statistics

Start with the simplest possible case. Write down what Paris Institute of Statistics claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Paris Institute of Statistics before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Paris Institute of Statistics ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Paris Institute of Statistics

In research: Paris Institute of Statistics appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Paris Institute of Statistics in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Paris Institute of Statistics is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1922 establishments in France, Grandes écoles, Schools in Paris, so understanding it makes those chapters shorter.
In everyday life: Look for Paris Institute of Statistics outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Paris Institute of Statistics in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Paris Institute of Statistics means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Paris Institute of Statistics out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Paris Institute of Statistics in simple terms?

Why does Paris Institute of Statistics matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Paris Institute of Statistics?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Paris Institute of Statistics.