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Volumn 19, Issue 2, 2004, Pages 322-332

Some statistical and computational challenges, and opportunities in astronomy

Author keywords

Classification; Digital sky surveys; Massive data; National Virtual Observatory

Indexed keywords


EID: 14544274981     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/088342304000000774     Document Type: Review
Times cited : (4)

References (22)
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    • BREDEKAMP, J. H. and GOLOMBEK, D. A. (2003). NASA's astrophysics data environment. In Statistical Challenges in Astronomy (E. D. Feigelson and G. J. Babu, eds.) 103-112. Springer, New York.
    • (2003) Statistical Challenges in Astronomy , pp. 103-112
    • Bredekamp, J.H.1    Golombek, D.A.2
  • 7
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    • Searches for rare and new types of objects
    • (R. Brunner, S. G. Djorgovski and A. Szalay, eds.). Astronomical Society of the Pacific, San Francisco
    • DJORGOVSKI, S. G., MAHABAL, A., BRUNNER, R., GAL, R. R., CASTRO, S., DE CARVALHO, R. R. and ODEWAHN, S. C. (2001). Searches for rare and new types of objects. In Virtual Observatories of the Future (R. Brunner, S. G. Djorgovski and A. Szalay, eds.) 52-63. Astronomical Society of the Pacific, San Francisco.
    • (2001) Virtual Observatories of the Future , pp. 52-63
    • Djorgovski, S.G.1    Mahabal, A.2    Brunner, R.3    Gal, R.R.4    Castro, S.5    De Carvalho, R.R.6    Odewahn, S.C.7
  • 10
    • 0034237946 scopus 로고    scopus 로고
    • Rates of convergence for the Gaussian mixture sieve
    • GENOVESE, C. R. and WASSERMAN, L. (2000). Rates of convergence for the Gaussian mixture sieve. Ann. Statist. 28 1105-1127.
    • (2000) Ann. Statist. , vol.28 , pp. 1105-1127
    • Genovese, C.R.1    Wasserman, L.2
  • 12
    • 0034692242 scopus 로고    scopus 로고
    • X-ray sources in the Hubble deep field detected by Chandra
    • HORNSCHEMEIER, A. E. et al. (2000). X-ray sources in the Hubble deep field detected by Chandra. Astrophysical J. 541 49-53.
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    • Hornschemeier, A.E.1
  • 14
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    • Single-pass low-storage arbitrary quantile estimation for massive datasets
    • LIECHTY, J. C., LIN, D. K. J. and MCDERMOTT, J. P. (2003). Single-pass low-storage arbitrary quantile estimation for massive datasets. Statist. Comput. 13 91-100.
    • (2003) Statist. Comput. , vol.13 , pp. 91-100
    • Liechty, J.C.1    Lin, D.K.J.2    Mcdermott, J.P.3
  • 16
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    • Computational astrostatistics: Fast and efficient tools for analyzing huge astronomical data sources
    • (E. D. Feigelson and G. J. Babu, eds.). Springer, New York
    • NICHOL, R. C. et al. (2003). Computational astrostatistics: Fast and efficient tools for analyzing huge astronomical data sources. In Statistical Challenges in Astronomy (E. D. Feigelson and G. J. Babu, eds.) 265-276. Springer, New York.
    • (2003) Statistical Challenges in Astronomy , pp. 265-276
    • Nichol, R.C.1
  • 17
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    • Statistical and astronomical challenges in the Sloan digital sky survey
    • (E. D. Feigelson and G. J. Babu, eds.). Springer, New York
    • STRAUSS, M. A. (2003). Statistical and astronomical challenges in the Sloan digital sky survey. In Statistical Challenges in Astronomy (E. D. Feigelson and G. J. Babu, eds.) 113-123. Springer, New York.
    • (2003) Statistical Challenges in Astronomy , pp. 113-123
    • Strauss, M.A.1
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    • Analyzing large data sets in cosmology
    • (E. D. Feigelson and G. J. Babu, eds.). Springer, New York
    • SZALAY, A. S. and MATSUBARA, T. (2003). Analyzing large data sets in cosmology. In Statistical Challenges in Astronomy (E. D. Feigelson and G. J. Babu, eds.) 161-174. Springer, New York.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.