mathematics

Maria De Iorio

Maria De Iorio 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 De Iorio rather than just read about it. In short: Maria De Iorio (born 1972) is an Italian biostatistician whose research applies Bayesian statistics and nonparametric statistics in genomics and bioinformatics. She is a professor at the National University of Singapore.

Key takeaways

Maria De Iorio 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 De Iorio to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Maria De Iorio from memory before moving on to harder problems.

Reference excerpt

Maria De Iorio (born 1972) is an Italian biostatistician whose research applies Bayesian statistics and nonparametric statistics in genomics and bioinformatics. She is a professor at the National University of Singapore.

Education and career De Iorio has a laurea in economics from Bocconi University in Italy. She completed a PhD in 2001 at Duke University in the US. Her dissertation, Markov Random Fields at Multiple Resolutions and an ANOVA Model for Dependent Random Measures, was supervised by Michael L. Lavine. After postdoctoral research at the University of Oxford in England, she became a lecturer and later senior lecturer at Imperial College London beginning in 2003, in the Department of Epidemiology and Public Health. She moved to University College London in 2011, as reader in statistics, and became professor of biostatistics there in 2015. She moved to the National University of Singapore in 2018, as head of a statistics program at Yale-NUS College. She added an affiliation with the Yong Loo Lin School of Medicine of the National University of Singapore in 2020, and transferred to the School of Medicine as a full-time professor in 2021. She also has a joint appointment in the university's Department of Statistics & Data Science.

Recognition De Iorio received the 2005 Research Prize of the Royal Statistical Society. She was named as a Fellow of the International Society for Bayesian Analysis in 2020.

References

External links Maria De Iorio publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Maria De Iorio

Start with the simplest possible case. Write down what Maria De Iorio 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 De Iorio 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 De Iorio 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 De Iorio

In research: Maria De Iorio 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 De Iorio 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 De Iorio is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1972 births, 21st-century statisticians, Academic staff of the National University of Singapore, so understanding it makes those chapters shorter.
In everyday life: Look for Maria De Iorio 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 De Iorio in 20 minutes

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

Frequently asked questions

What is Maria De Iorio in simple terms?

Why does Maria De Iorio 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 De Iorio?

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 De Iorio.