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Nicholas Bingham

Nicholas Bingham 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 Nicholas Bingham rather than just read about it. In short: Nicholas Hugh Bingham (born 19 March 1945) is a British mathematician working in the field of probability theory, stochastic analysis and analysis more generally. Education and career Bingham is currently a Senior Research Investigator at Imperial College London, and is a visiting professor at both the London School of Economics and the University of Liverpool.

Key takeaways

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

Reference excerpt

Nicholas Hugh Bingham (born 19 March 1945) is a British mathematician working in the field of probability theory, stochastic analysis and analysis more generally.

Education and career Bingham is currently a Senior Research Investigator at Imperial College London, and is a visiting professor at both the London School of Economics and the University of Liverpool. Bingham studied at Trinity College, Oxford, earning a BA in mathematics with first-class honours from the University of Oxford in 1966 (this degree was later elevated to an MA in 1985). He then pursued doctoral research at Churchill College, Cambridge, completing his PhD in mathematics at the University of Cambridge in 1969 under the supervision of David George Kendall. His thesis was titled Limit theorems and semigroups in probability theory. In 1996, he was additionally awarded a ScD degree, a higher doctorate, by Cambridge. He serves as associate editor of Expositiones Mathematicae and obituaries editor of the London Mathematical Society. With C.M. Goldie and Jozef L. Teugels, Bingham wrote the book Regular Variation; with Rüdiger Kiesel Risk-neutral Valuation: Pricing and Hedging of Financial Derivatives; with J. M. Fry Regression.

Personal life Bingham is married to Cecilie (m. 1980). They have 3 children: James (1982), Ruth (1985), and Tom (1993). He is a competitive runner, with a best marathon time of 2:46:52 in the 1991 Abingdon Marathon, aged 46. He is a member of Barnet and District AC.

References

Worked examples

Example 1 — a first encounter with Nicholas Bingham

Start with the simplest possible case. Write down what Nicholas Bingham 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 Nicholas Bingham 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 Nicholas Bingham 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 Nicholas Bingham

In research
Nicholas Bingham 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 Nicholas Bingham 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
Nicholas Bingham is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1945 births, Academics of Imperial College London, Academics of the London School of Economics, so understanding it makes those chapters shorter.
In everyday life
Look for Nicholas Bingham 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 Nicholas Bingham in 20 minutes

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

Frequently asked questions

What is Nicholas Bingham in simple terms?

Nicholas Hugh Bingham (born 19 March 1945) is a British mathematician working in the field of probability theory, stochastic analysis and analysis more generally. Education and career Bingham is currently a Senior Research Investigator at Imperial College London, and is a visiting professor at both…

Why does Nicholas Bingham 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 Nicholas Bingham?

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 Nicholas Bingham.

Tags

  • 1945 births
  • Academics of Imperial College London
  • Academics of the London School of Economics
  • Alumni of Churchill College, Cambridge
  • Alumni of Trinity College, Oxford
  • British mathematical statisticians
  • English mathematicians
  • Living people
  • People from York
  • Probability theorists

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