mathematics

Peter Guttorp

Peter Guttorp 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 Peter Guttorp rather than just read about it. In short: Peter Guttorp is a statistician, born in Sweden, with most of his career in the United States. He is a professor emeritus at the University of Washington and professor at the Norwegian Computing Center.

Key takeaways

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

Reference excerpt

Peter Guttorp is a statistician, born in Sweden, with most of his career in the United States. He is a professor emeritus at the University of Washington and professor at the Norwegian Computing Center. Most of his work is in stochastic modeling of scientific data in hematology, geosciences, and climatology, with particular focus on spatial and spatio-temporal approaches. He has also worked in the history of statistics. Guttorp received a journalist exam from the Stockholm School of Journalism in 1969, and a PhD in Statistics from the University of California at Berkeley in 1980. He was awarded an honorary doctorate from Lund University in 2009. Guttorp is a fellow of the American Statistical Association, and the Institute of Mathematical Statistics. He is an elected member of the International Statistical Institute and served on its executive committee as vice president from 2017 to 2021. He was president of the International Environmetric Society from 2002 to 2004.

Bibliography P. Guttorp and T. Löfström (1978): President de Huslund (in Swedish). Lund: Cavefors. P. Guttorp (1991): Statistical inference for branching processes. New York: Wiley. A. T. Walden and P. Guttorp, eds. (1992): Statistics in the Environmental and Earth Sciences. London: Edward Arnold P. Guttorp (1995): Stochastic modeling of scientific data. London: Chapman & Hall. A. Gelfand, P. Diggle, M. Fuentes and P. Guttorp (2010): Handbook in Spatial Statistics. Boca Raton: Chapman & Hall. P. Guttorp and D. R. Brillinger (2011): Selected works of David Brillinger. New York: Springer.

References

Worked examples

Example 1 — a first encounter with Peter Guttorp

Start with the simplest possible case. Write down what Peter Guttorp 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 Peter Guttorp 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 Peter Guttorp 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 Peter Guttorp

In research: Peter Guttorp 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 Peter Guttorp 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: Peter Guttorp is common in secondary-school and first-year university syllabi. It links to neighbouring topics Fellows of the American Statistical Association, Fellows of the Institute of Mathematical Statistics, Living people, so understanding it makes those chapters shorter.
In everyday life: Look for Peter Guttorp 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 Peter Guttorp in 20 minutes

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

Frequently asked questions

What is Peter Guttorp in simple terms?

Why does Peter Guttorp 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 Peter Guttorp?

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 Peter Guttorp.