mathematics

Maria-Pia Victoria-Feser

Maria-Pia Victoria-Feser 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 Maria-Pia Victoria-Feser rather than just read about it. In short: Maria-Pia Victoria-Feser (born 24 September 1965) is a Swiss statistician who develops methods for statistical inference with applications to research fields ranging from social, economics (econometrics) to experimental sciences (biostatistics). She has been a professor in the Geneva School of Economics and Management until 2023, part of the University of Geneva, and was the founding dean of the school.

Key takeaways

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

Reference excerpt

Maria-Pia Victoria-Feser (born 24 September 1965) is a Swiss statistician who develops methods for statistical inference with applications to research fields ranging from social, economics (econometrics) to experimental sciences (biostatistics). She has been a professor in the Geneva School of Economics and Management until 2023, part of the University of Geneva, and was the founding dean of the school. She is now a professor in the Department of Statistics, part of the University of Bologna.

Education and career Victoria-Feser earned a master's degree in econometrics from the University of Geneva in 1989. In 1993, she completed her Ph.D. at the University of Geneva, in econometrics and statistics. She received in 1995 the Latsis Foundation International Prize for her dissertation, Robust Methods for Personal Income Distribution Models (supervised by Elvezio Ronchetti). After working for three years as a lecturer at the London School of Economics (department of statistics), she returned to the University of Geneva in 1997, in the faculty of psychology and educational sciences. She was awarded, in 2000, the professorial fellowships from the Swiss National Science Foundation, became a full professor in the Department of Hautes Études Commerciales (HEC Genève) in 2001, and dropped her affiliation with psychology and educational sciences in 2005. In 2013, the department merged with the Department of Economics to become the Geneva School of Economics and Management, and she was its founding dean from 2013 to 2017. After working part time for many years she received a permanent full time position in 2018. In November 2023, she was nominated full professor in the Department of Statistics at the University of Bologna. Within the University of Geneva, Victoria-Feser has led the creation of institutes and programs for research and teaching in statistical sciences. In particular, she founded the Research Centre for Statistics (2011), the masters program in statistics (2006), the Ph.D. program in statistics (2009) and the masters program in business analytics (2017) with a public-private partnership with the multinational companies association established in the Geneva region.

Research activities Victoria-Feser develops statistical methods that concern, in particular, robust statistics, model selection, prediction, resampling (statistics) methods, time series, generalized linear model and generalized latent variable model. She has published scientific articles in internationally recognized reviews such as the Journal of the American Statistical Association, the Journal of the Royal Statistical Society (statistical methodology), Econometrica, the Annals of Applied Statistics and the Journal of Business & Economic Statistics. Part of her research activities have been financed by public founding bodies such as the Swiss National Science Foundation or the Economic and Social Research Council in the UK.

Book With Stephane Heritier, Eva Cantoni and Samuel Copt, Victoria-Feser is an author of the book Robust Methods in Biostatistics (Wiley, 2009).

References

External links Home page Maria-Pia Victoria-Feser publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Maria-Pia Victoria-Feser

Start with the simplest possible case. Write down what Maria-Pia Victoria-Feser 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 Maria-Pia Victoria-Feser 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 Maria-Pia Victoria-Feser 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 Maria-Pia Victoria-Feser

In research: Maria-Pia Victoria-Feser 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 Maria-Pia Victoria-Feser 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: Maria-Pia Victoria-Feser is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1965 births, Academic staff of the University of Geneva, Academics of the London School of Economics, so understanding it makes those chapters shorter.
In everyday life: Look for Maria-Pia Victoria-Feser 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 Maria-Pia Victoria-Feser in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Maria-Pia Victoria-Feser 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 Maria-Pia Victoria-Feser out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Maria-Pia Victoria-Feser in simple terms?

Why does Maria-Pia Victoria-Feser 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 Maria-Pia Victoria-Feser?

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 Maria-Pia Victoria-Feser.