## Fundamental Probability: A Computational Approach

### Marc S. Paolella

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Probability is a vital measure in numerous disciplines, frombioinformatics and econometrics to finance/insurance and computerscience. Developed from a successful course, FundamentalProbability provides an engaging and hands-on introduction tothis important topic. Whilst the theory is explored in detail, thisbook also emphasises practical applications, with the presentationof a large variety of examples and exercises, along with generoususe of computational tools.

Based on international teaching experience with students ofstatistics, mathematics, finance and econometrics, the book:

• Presents new, innovative material alongside the classictheory.
• Goes beyond standard presentations by carefully introducing anddiscussing more complex subject matter, including a richer use ofcombinatorics, runs and occupancy distributions, variousmultivariate sampling schemes, fat-tailed distributions, andseveral basic concepts used in finance.
• Emphasises computational matters and programming methods viagenerous use of examples in MATLAB.
• Includes a large, self-contained Calculus/Analysis appendixwith derivations of all required tools, such as Leibniz’rule, exchange of derivative and integral, Fubini’s theorem,and univariate and multivariate Taylor series.
• Presents over 150 end-of-chapter exercises, graded in terms oftheir difficulty, and accompanied by a full set of solutionsonline.

This book is intended as an introduction to the theory ofprobability for students in biology, mathematics, statistics,economics, engineering, finance, and computer science who possessthe prerequisite knowledge of basic calculus and linearalgebra.

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From the Back Cover:

Probability is a vital measure in numerous disciplines, frombioinformatics and econometrics to finance/insurance and computerscience. Developed from a successful course, FundamentalProbability: A Computational Approach provides an engaging andhands-on introduction to this important topic. Whilst the theory isexplored in detail, this book also emphasises practicalapplications, with the presentation of a large variety of examplesand exercises, along with generous use of computational tools.

Based on international teaching experience with students ofstatistics, mathematics, finance and econometrics, the book:

• Presents new, innovative material alongside the classictheory.
• Goes beyond standard presentations by carefully introducing anddiscussing more complex subject matter, including a richer use ofcombinatorics, runs and occupancy distributions, variousmultivariate sampling schemes, fat-tailed distributions, andseveral basic concepts used in finance.
• Emphasises computational matters and programming methods viagenerous use of examples in MATLAB.
• Includes a large, self-contained Calculus/Analysis appendixwith derivations of all required tools, such as Leibniz’rule, exchange of derivative and integral, Fubini’s theorem,and univariate and multivariate Taylor series.
• Presents over 150 end-of-chapter exercises, graded in terms oftheir difficulty, and accompanied by a full set of solutionsonline.

This book is intended as an introduction to the theory ofprobability for students in biology, mathematics, statistics,economics, engineering, finance, and computer science who possessthe prerequisite knowledge of basic calculus and linearalgebra.

Marc S Paolella, Swiss Banking Institute, University of Zurich, Switzerland

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## 1.Fundamental Probability: A Computational Approach (Hardback)

ISBN 10: 0470025948 ISBN 13: 9780470025949
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Book Description John Wiley and Sons Ltd, United Kingdom, 2006. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. Probability is a vital measure in numerous disciplines, from bioinformatics and econometrics to finance/insurance and computer science. Developed from a successful course, "Fundamental Probability" provides an engaging and hands on introduction to this important topic. Whilst the theory is explored in detail, this book also emphasises practical applications, with the presentation of a large variety of examples and exercises, along with generous use of computational tools.Based on international teaching experience with students of statistics, mathematics, finance and econometrics, the book presents new, innovative material alongside the classic theory. It goes beyond standard presentations by carefully introducing and discussing more complex subject matter, including a richer use of combinatorics, runs and occupancy distributions, various multivariate sampling schemes, fat tailed distributions, and several basic concepts used in finance. It emphasises computational matters and programming methods via generous use of examples in MATLAB.It includes a large, self contained Calculus/Analysis appendix with derivations of all required tools, such as Leibniz' rule, exchange of derivative and integral, Fubini's theorem, and univariate and multivariate Taylor series. It presents over 150 end of chapter exercises, graded in terms of their difficulty, and accompanied by a full set of solutions online.This book is intended as an introduction to the theory of probability for students in biology, mathematics, statistics, economics, engineering, finance, and computer science who possess the prerequisite knowledge of basic calculus and linear algebra. Seller Inventory # AAH9780470025949

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## 2.Fundamental Probability: A Computational Approach

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## 4.Fundamental Probability: A Computational Approach (Hardback)

ISBN 10: 0470025948 ISBN 13: 9780470025949
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Book Description John Wiley and Sons Ltd, United Kingdom, 2006. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. Probability is a vital measure in numerous disciplines, from bioinformatics and econometrics to finance/insurance and computer science. Developed from a successful course, "Fundamental Probability" provides an engaging and hands on introduction to this important topic. Whilst the theory is explored in detail, this book also emphasises practical applications, with the presentation of a large variety of examples and exercises, along with generous use of computational tools.Based on international teaching experience with students of statistics, mathematics, finance and econometrics, the book presents new, innovative material alongside the classic theory. It goes beyond standard presentations by carefully introducing and discussing more complex subject matter, including a richer use of combinatorics, runs and occupancy distributions, various multivariate sampling schemes, fat tailed distributions, and several basic concepts used in finance. It emphasises computational matters and programming methods via generous use of examples in MATLAB.It includes a large, self contained Calculus/Analysis appendix with derivations of all required tools, such as Leibniz' rule, exchange of derivative and integral, Fubini's theorem, and univariate and multivariate Taylor series. It presents over 150 end of chapter exercises, graded in terms of their difficulty, and accompanied by a full set of solutions online.This book is intended as an introduction to the theory of probability for students in biology, mathematics, statistics, economics, engineering, finance, and computer science who possess the prerequisite knowledge of basic calculus and linear algebra. Seller Inventory # AAH9780470025949

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Book Description John Wiley & Sons Inc, 2006. Hardcover. Condition: Brand New. 1st edition. 466 pages. 9.50x7.00x1.00 inches. In Stock. Seller Inventory # __0470025948

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## 10.Fundamental Probability: A Computational Approach (Hardback)

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Book Description John Wiley and Sons Ltd, United Kingdom, 2006. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. Probability is a vital measure in numerous disciplines, from bioinformatics and econometrics to finance/insurance and computer science. Developed from a successful course, "Fundamental Probability" provides an engaging and hands on introduction to this important topic. Whilst the theory is explored in detail, this book also emphasises practical applications, with the presentation of a large variety of examples and exercises, along with generous use of computational tools.Based on international teaching experience with students of statistics, mathematics, finance and econometrics, the book presents new, innovative material alongside the classic theory. It goes beyond standard presentations by carefully introducing and discussing more complex subject matter, including a richer use of combinatorics, runs and occupancy distributions, various multivariate sampling schemes, fat tailed distributions, and several basic concepts used in finance. It emphasises computational matters and programming methods via generous use of examples in MATLAB.It includes a large, self contained Calculus/Analysis appendix with derivations of all required tools, such as Leibniz' rule, exchange of derivative and integral, Fubini's theorem, and univariate and multivariate Taylor series. It presents over 150 end of chapter exercises, graded in terms of their difficulty, and accompanied by a full set of solutions online.This book is intended as an introduction to the theory of probability for students in biology, mathematics, statistics, economics, engineering, finance, and computer science who possess the prerequisite knowledge of basic calculus and linear algebra. Seller Inventory # LIE9780470025949