The DOI matches its Crossref record.
Statistical Approach to Problems of Cosmology
Abstract
SUMMARY: The basic hypothesis underlying current deterministic cosmologies, namely the so-called cosmological principle, can be stated precisely only in terms of probabilistic concepts. Consequently, considerable progress and aesthetic gain may be expected if determinism is abandoned and replaced by a frank probabilistic treatment of cosmology. This requires the adoption of the view that the Universe is a realization of a stochastic process which is stationary in the three (spatial) co-ordinates (cosmological principle) and possibly also stationary in the fourth (time) co-ordinate (“perfect” cosmological principle). Two examples are given of problems relevant to deterministic cosmological theories that elude deterministic treatment, but lend themselves to an indeterministic statistical study.
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Cited by
Speculations Concerning the First Ultraintelligent Machine
Good, I. J. (1966) · Advances in Computers · doi:10.1016/s0065-2458(08)60418-0 · Cited by 703
Hybrids of gibbs point process models and their implementation
Baddeley, A., Turner, R., Mateu, J., & Bevan, A. (2013) · Journal of Statistical Software · doi:10.18637/jss.v055.i11 · Cited by 52
Metadata
- Authors
- Neyman, J., & Scott, E. L.
- Venue
- Journal of the Royal Statistical Society Series B: Statistical Methodology
- Publisher
- Oxford University Press (OUP)
- Published
- 1958-01-01
- Volume
- 20
- Issue
- 1
- Pages
- 1-29
- ISSN
- 1369-7412 (ISSN-L)
- 1467-9868
- OpenAlex
- W2300640160
- Cited by
- 379
- References
- 0
- FWCI
- 2.48
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.