mathematics

Johanna G. Nešlehová

Johanna G. Nešlehová 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 Johanna G. Nešlehová rather than just read about it. In short: Johanna G. Nešlehová (born July 26, 1977) is a Czech mathematical statistician who works in Canada at McGill University as a professor in the department of mathematics and statistics.

Key takeaways

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

Reference excerpt

Johanna G. Nešlehová (born July 26, 1977) is a Czech mathematical statistician who works in Canada at McGill University as a professor in the department of mathematics and statistics. Her research interests include copulas, extreme value theory, multivariate statistics, and operational risk.

Education and career Nešlehová is originally from Prague, the daughter of painter Pavel Nešleha and art historian Mahulena Nešlehová. She studied at the Charles University, the University of Hamburg, and the University of Oldenburg, earning a degree (vordiplom) from University of Hamburg in 1999, a master's degree (diplom) from the University of Hamburg in 2000, and a doctorate from the University of Oldenburg in 2004. Her dissertation, Dependence of Non-continuous Random Variables, was supervised by Dietmar Pfeifer. After working as a postdoctoral researcher and Heinz Hopf Lecturer at ETH Zürich, she joined the McGill University faculty in 2009. Since October 2022 she is also a professor at WU Vienna University of Economics and Business.

Book With Erhard Cramer, Nešlehová is the author of a German-language undergraduate textbook in introductory mathematics, Vorkurs Mathematik: Arbeitsbuch zum Studienbeginn in Bachelor-Studiengängen (Springer, 2005; 7th ed., 2018).

Recognition Nešlehová was named as an Elected Member of the International Statistical Institute in 2011. In 2020 she was named a Fellow of the Institute of Mathematical Statistics. She was the 2019 winner of the CRM-SSC Prize in Statistics "for fundamental contributions to multivariate statistics, and in particular stochastic dependence modeling and extreme-value theory, and for her efforts to promote the sound application of statistics in risk management". In 2023, Nešlehová was the second statistician (after Nancy Reid in 1995) to receive the Krieger–Nelson Prize of the Canadian Mathematical Society.

Personal life Nešlehová is married to statistician Christian Genest. Their son Richard Genest was born in 2014. Johanna became a Canadian citizen in 2015.

References

External links Johanna G. Nešlehová publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Johanna G. Nešlehová

Start with the simplest possible case. Write down what Johanna G. Nešlehová 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 Johanna G. Nešlehová 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 Johanna G. Nešlehová 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 Johanna G. Nešlehová

In research: Johanna G. Nešlehová 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 Johanna G. Nešlehová 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: Johanna G. Nešlehová is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1977 births, 21st-century statisticians, Academic staff of McGill University, so understanding it makes those chapters shorter.
In everyday life: Look for Johanna G. Nešlehová 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.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Johanna G. Nešlehová” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Johanna G. Nešlehová in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Johanna G. Nešlehová 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 Johanna G. Nešlehová out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Johanna G. Nešlehová in simple terms?

Johanna G. Nešlehová (born July 26, 1977) is a Czech mathematical statistician who works in Canada at McGill University as a professor in the department of mathematics and statistics.

Why does Johanna G. Nešlehová 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 Johanna G. Nešlehová?

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 Johanna G. Nešlehová.