Asymptotic bias in information estimates and the exponential (Bell) polynomials

Neural Computation

Volumn 12, Issue 12, 2000, Pages 2797-2804

  Victor, Jonathan D ^a  

^a WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; EPIDEMIOLOGY; PROBABILITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIAS (EPIDEMIOLOGY); MODELS, NEUROLOGICAL; PROBABILITY;

EID: 0034571899     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976600300014728     Document Type: Article

References (8)

1. Bell, E. T. (1934). Exponential numbers. Amer. Math. Monthly, 41, 411-419.
2. Bell, E. T. (1934). Exponential polynomials. Ann. Math., 35, 258-277.
3. Carlton, A. G. (1969). On the bias of information estimates. Psychological Bulletin, 71, 108-109.
4. Miller, G. A. (1955). Note on the bias on information estimates. Information Theory in Psychology; Problems and Methods II-B, 95-100.
5. Panzeri, S., & Treves, A. (1996). Analytical estimates of limited sampling biases in different information measures. Network, 7, 87-107.
6. Rieke, F., Warland, D., de Ruyter van Steveninck, R. R., & Bialek, W. (1997). Spikes: Exploring the neural code. Cambridge, MA: MIT Press.
7. Rota, G-C. (1964). The number of partitions of a set. Amer. Math. Monthly, 71, 498-504.
8. Treves, A., & Panzeri, S. (1995). The upward bias in measures of information derived from limited data samples. Neural Computation, 7, 399-407.