Results 241 to 250 of about 1,301,577 (294)

Separation-like irregularity and sample size optimism in high-discrimination logistic prediction models. [PDF]

PLoS One
Liang Y, Wang LS, Yu J, Zan X.
europepmc   +1 more source

Updated Testing Sensitivities and Variants of Uncertain Significance in CanRisk

Easton DF, Carver T, Ficorella L, Hanson H, Snape K, Tsoulaki O, Usher-Smith JA, Archer S, Tischkowitz M, Antoniou A.   +9 more
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Approximation of incoherent probabilities

International Journal of Approximate Reasoning, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas Weiler, Edwin Lughofer
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Approximations for the probability of misclassification

Pattern Recognition, 1976
Abstract An algorithm which estimates the probability of classifying a multivariate normal observation into either of two classes is developed and evaluated. As part of the evaluation the algorithm is used to compare and evaluate maximum likelihood. Euclidean distance, linear discriminant and other classification rules.
S. G. Wheeler, D. S. Ingram
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Tail Probability Approximations

International Statistical Review / Revue Internationale de Statistique, 1987
This paper is a very interesting and clear review on two explicit approximations for the tail probability of a sample mean. The Edgeworth type expansion gives an asymptotic expansion in powers of \(n^{-1/2}\) when \(\bar x-E(X)=O(n^{-1/2})\). For large deviations it can be further reduced to an expansion whose terms decrease by a factor \(n^{-1}.\) A ...
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Discrete Approximations of Probability Distributions

Management Science, 1983
Practical limits on the size of most probabilistic models require that probability distributions be approximated by a few representative values and associated probabilities. This paper demonstrates that methods commonly used to determine discrete approximations of probability distributions systematically underestimate the moments of the original ...
Allen C. Miller, III, Thomas R. Rice
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Approximate Qualitative Probability

Journal of Mathematical Psychology, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Approximating grammar probabilities

Journal of the ACM, 1986
It is proved that the production probabilities of a probabilistic context-free grammar may be obtained as the limit of the estimates inferred from an increasing sequence of randomly drawn samples from the language generated by the grammar.
Ranjan Chaudhuri, A. N. V. Rao
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Approximating discrete probability distributions

IEEE Transactions on Information Theory, 1969
The method of minimum discrimination information estimation is applied to the problem of estimating an n -dimensional discrete probability distribution in terms of lower order marginal distributions. The procedure provides a convergent iterative algorithm. The method yields regular best asymptotically normal (RBAN) estimates.
Harry H. Ku, Solomon Kullback
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On the Lock-in Probability of Stochastic Approximation

Combinatorics, Probability and Computing, 2002
For a stochastic approximation-type recursion with finitely many possible limit points, we find a lower bound on the probability of converging to a prescribed point in its ‘domain of attraction’. This has implications for the lock-in phenomena in the stochastic models of increasing return economics and the sample complexity of stochastic ...
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