9780691145327 - bayesian non- and semi-parametric methods and applications di rossi, peter e. (19 risultati)
Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
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Lingua: Inglese
Editore: Princeton University Press, Princeton, NJ, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
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Hardcover. Condizione: Very Good. Hardcover with unclipped dust jacket. Very slight edgewear to jacket, no other faults. AD. Used.
Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
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Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
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Da: INDOO, Avenel, NJ, U.S.A.INDOO
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Condizione: As New. Unread copy in mint condition.
Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
- Rilegato
Da: INDOO, Avenel, NJ, U.S.A.INDOO
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Condizione: New. Brand New.
Lingua: Inglese
Editore: Princeton University Press, US, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Hardback. Condizione: New. This book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. Most econometric models used in microeconomics and marketing applications involve arbitrary distributional assumptions. As more data becomes available, a…natural desire to provide methods that relax these assumptions arises. Peter Rossi advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use either a large but fixed number of normal components in the mixture or an infinite number bounded only by the sample size. By using flexible distributional approximations instead of fixed parametric models, the Bayesian approach can reap the advantages of an efficient method that models all of the structure in the data while retaining desirable smoothing properties. Non-Bayesian non-parametric methods often require additional ad hoc rules to avoid "overfitting," in which resulting density approximates are nonsmooth. With proper priors, the Bayesian approach largely avoids overfitting, while retaining flexibility.This book provides methods for assessing informative priors that require only simple data normalizations. The book also applies the mixture of the normals approximation method to a number of important models in microeconometrics and marketing, including the non-parametric and semi-parametric regression models, instrumental variables problems, and models of heterogeneity. In addition, the author has written a free online software package in R, "bayesm," which implements all of the non-parametric models discussed in the book.
Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
- Rilegato
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
- Rilegato
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. Reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. This book advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. Series: The E…conometric and Tinbergen Institutes Lectures. Num Pages: 224 pages, 66 line illus. BIC Classification: PBTB. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 151 x 217 x 22. Weight in Grams: 412. . 2014. Hardcover. . . . .
Lingua: Inglese
Editore: Princeton University Press, US, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
- Rilegato
Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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Hardback. Condizione: New. This book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. Most econometric models used in microeconomics and marketing applications involve arbitrary distributional assumptions. As more data becomes available, a…natural desire to provide methods that relax these assumptions arises. Peter Rossi advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use either a large but fixed number of normal components in the mixture or an infinite number bounded only by the sample size. By using flexible distributional approximations instead of fixed parametric models, the Bayesian approach can reap the advantages of an efficient method that models all of the structure in the data while retaining desirable smoothing properties. Non-Bayesian non-parametric methods often require additional ad hoc rules to avoid "overfitting," in which resulting density approximates are nonsmooth. With proper priors, the Bayesian approach largely avoids overfitting, while retaining flexibility.This book provides methods for assessing informative priors that require only simple data normalizations. The book also applies the mixture of the normals approximation method to a number of important models in microeconometrics and marketing, including the non-parametric and semi-parametric regression models, instrumental variables problems, and models of heterogeneity. In addition, the author has written a free online software package in R, "bayesm," which implements all of the non-parametric models discussed in the book.
Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: New.
Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
- Rilegato
Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. Reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. This book advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. Series: The E…conometric and Tinbergen Institutes Lectures. Num Pages: 224 pages, 66 line illus. BIC Classification: PBTB. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 151 x 217 x 22. Weight in Grams: 412. . 2014. Hardcover. . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: 2014-01-01, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
- Brossura
Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Paperback. Condizione: New.
Lingua: Inglese
Editore: Princeton Univ Pr, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 272 pages. 9.00x6.00x1.00 inches. In Stock.
Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
- Rilegato
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Princeton University Press, US, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
- Rilegato
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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Hardback. Condizione: New. This book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. Most econometric models used in microeconomics and marketing applications involve arbitrary distributional assumptions. As more data becomes available, a…natural desire to provide methods that relax these assumptions arises. Peter Rossi advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use either a large but fixed number of normal components in the mixture or an infinite number bounded only by the sample size. By using flexible distributional approximations instead of fixed parametric models, the Bayesian approach can reap the advantages of an efficient method that models all of the structure in the data while retaining desirable smoothing properties. Non-Bayesian non-parametric methods often require additional ad hoc rules to avoid "overfitting," in which resulting density approximates are nonsmooth. With proper priors, the Bayesian approach largely avoids overfitting, while retaining flexibility.This book provides methods for assessing informative priors that require only simple data normalizations. The book also applies the mixture of the normals approximation method to a number of important models in microeconometrics and marketing, including the non-parametric and semi-parametric regression models, instrumental variables problems, and models of heterogeneity. In addition, the author has written a free online software package in R, "bayesm," which implements all of the non-parametric models discussed in the book.
Lingua: Inglese
Editore: Princeton University Press, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Princeton University Press, US, 2014
Serie: Libro 3 di 6 - The Econometric and Tinbergen Institutes Lectures
- Rilegato
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 54,14
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Hardback. Condizione: New. This book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. Most econometric models used in microeconomics and marketing applications involve arbitrary distributional assumptions. As more data becomes available, a…natural desire to provide methods that relax these assumptions arises. Peter Rossi advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use either a large but fixed number of normal components in the mixture or an infinite number bounded only by the sample size. By using flexible distributional approximations instead of fixed parametric models, the Bayesian approach can reap the advantages of an efficient method that models all of the structure in the data while retaining desirable smoothing properties. Non-Bayesian non-parametric methods often require additional ad hoc rules to avoid "overfitting," in which resulting density approximates are nonsmooth. With proper priors, the Bayesian approach largely avoids overfitting, while retaining flexibility.This book provides methods for assessing informative priors that require only simple data normalizations. The book also applies the mixture of the normals approximation method to a number of important models in microeconometrics and marketing, including the non-parametric and semi-parametric regression models, instrumental variables problems, and models of heterogeneity. In addition, the author has written a free online software package in R, "bayesm," which implements all of the non-parametric models discussed in the book.
