121,243 research outputs found
NSF EAR 16-60600: Te isotope fractionationa
No full textDataset for NSF EAR 16-60600Open Restriction set for Item 116824 on 2020-12-29T23:11:32Z with date null by [email protected] Restriction set for Item 116824 on 2021-01-03T00:42:07Z with date null by [email protected] Restriction set for Item 116824 on 2021-01-03T00:57:13Z with date null by [email protected] by Naomi Wasserman ([email protected]) on 2021-01-03T01:03:37Z
No. of bitstreams: 2
NSF_Te iCAP data compiled.xlsx: 670633 bytes, checksum: c7c7e8a668e6998201dbb4a1c316c740 (MD5)
NSF Te isotope data.zip: 1459289 bytes, checksum: 5b94fdd989a75c73a9dedcc29401ea16 (MD5)Approved for entry into archive by Ayla Kenfield ([email protected]) on 2021-01-08T17:11:25Z (GMT) No. of bitstreams: 2
NSF_Te iCAP data compiled.xlsx: 670633 bytes, checksum: c7c7e8a668e6998201dbb4a1c316c740 (MD5)
NSF Te isotope data.zip: 1459289 bytes, checksum: 5b94fdd989a75c73a9dedcc29401ea16 (MD5)Made available in DSpace on 2021-01-08T17:11:25Z (GMT). No. of bitstreams: 2
NSF_Te iCAP data compiled.xlsx: 670633 bytes, checksum: c7c7e8a668e6998201dbb4a1c316c740 (MD5)
NSF Te isotope data.zip: 1459289 bytes, checksum: 5b94fdd989a75c73a9dedcc29401ea16 (MD5)
Previous issue date: 2020-08-15National Science Foundation EAR 16-60600Ope
Man of La Mancha program
No full textDaniel L. Rogers, director; music by Mitch Leight; lyrics by Joe Darion; based on the the book by Dale Wasserman; adapted from "Don Quixote" by Miguel de Cervantes. Summary: Author Miguel de Cervantes is imprisoned & forced to act out one of his manuscrip
Man of La Mancha poster
No full textDaniel L. Rogers, director; music by Mitch Leight; lyrics by Joe Darion; based on the the book by Dale Wasserman; adapted from "Don Quixote" by Miguel de Cervantes. Summary: Author Miguel de Cervantes is imprisoned & forced to act out one of his manuscrip
Man of La Mancha program cover
No full textDaniel L. Rogers, director; music by Mitch Leight; lyrics by Joe Darion; based on the the book by Dale Wasserman; adapted from "Don Quixote" by Miguel de Cervantes. Summary: Author Miguel de Cervantes is imprisoned & forced to act out one of his manuscrip
Man of La Mancha (2007)
No full textDaniel L. Rogers, director; music by Mitch Leight; lyrics by Joe Darion; based on the the book by Dale Wasserman; adapted from "Don Quixote" by Miguel de Cervantes. Summary: Author Miguel de Cervantes is imprisoned & forced to act out one of his manuscripts for prisoners' amusement. His performance as Don Quixote, a chivalrous yet crazy knight, inspires the prisoners to dream and hope
Wasserman (m.j.), Hultman (c.w.), Zslodos (l.) - International finance.
No full textWasserman (m.j.), Hultman (c.w.), Zslodos (l.) - International finance.. In: Revue économique, volume 16, n°4, 1965. pp. 679-680
Wasserman (m.j.), Hultman (c.w.), Zslodos (l.) - International finance.
No full textWasserman (m.j.), Hultman (c.w.), Zslodos (l.) - International finance.. In: Revue économique, volume 16, n°4, 1965. pp. 679-680
10-0513 MATTHEW W. WASSERMAN, M.D. v. GUGUL
No full text10-0513
Matthew W. Wasserman, M.D. v. Christina Bergeron Gugel
from Harris County and the 14th District Court of Appeals, Houston
For petitioner: Holly H. Williamson, Houston
For respondent: Reginald E. McKamie, Houston
For Amicus Curiae: Christophe
Consistency of Bernstein polynomial posteriors
No full textA Bernstein prior is a probability measure on the space of all the
distribution functions on [0,1]. Under very general assumptions,
it selects absolutely continuous distribution functions, whose densities are mixtures of known beta densities. The Bernstein
prior is of interest in Bayesian nonparametric inference with continuous data.
In this paper we study the consistency of the posterior from a Bernstein prior. We first show that, under mild assumptions, the posterior is weakly consistent for any distribution function P_0 on [0,1] with continuous and bounded Lebesgue density.
With slightly stronger assumptions on the prior, the posterior is
also Hellinger-consistent. This implies that the predictive density from a Bernstein prior, which is a Bayesian density estimate, converges in Hellinger sense to the true density (assuming it is continuous and bounded). We also study a sieve maximum likelihood version of the density estimator, and show that it is also Hellinger consistent under weak assumptions.
When the order of the Bernstein polynomial, i.e. the number of components in the beta-mixture, is truncated, we show that under mild restrictions, the posterior concentrates on the set of so called pseudo-true densities. Finally, we study the behavior of the predictive density numerically and we also study a hybrid Bayes-maximum likelihood density estimator
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