Results 301 to 310 of about 3,369,331 (380)
Some of the next articles are maybe not open access.
Advanced Series on Statistical Science & Applied Probability, 2001
S. Asmussen
semanticscholar +3 more sources
S. Asmussen
semanticscholar +3 more sources
ESTIMATING SITE OCCUPANCY RATES WHEN DETECTION PROBABILITIES ARE LESS THAN ONE
Ecology, 2002Nondetection of a species at a site does not imply that the species is absent unless the probability of detection is 1. We propose a model and likelihood-based method for estimating site occupancy rates when detection probabilities are 0.3). We estimated
D. MacKenzie +5 more
semanticscholar +1 more source
Regime Switching with Time-Varying Transition Probabilities
Business Cycles, 2020Models incorporating nonlinearities associated with regime switching have a long tradition in empirical macroeconomics and dynamic econometrics. Key methodological contributions include the early work of Quandt (1958) and Goldfeld and Quandt (1973) and ...
F. Diebold, Joon-Haeng Lee, G. Weinbach
semanticscholar +1 more source
Quantum probabilities, Kolmogorov probabilities, and informational probabilities
International Journal of Theoretical Physics, 1994zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
X-Ray Fluorescence Yields, Auger, and Coster-Kronig Transition Probabilities
Reviews of Modern Physics, 1972W. Bambynek +7 more
exaly +2 more sources
Journal of Mathematical Sciences, 2001
In this paper, the author presents his theory of filtered random variables, which provides in particular an interpolation between non-commutative probabilistic settings such as Boolean and free probability. Given a family of noncommutative probability spaces of the form \((\widehat{\mathcal A} , \widehat{\varphi}) = (\bigotimes_{l\in L} {\mathcal A}_l ,
openaire +1 more source
In this paper, the author presents his theory of filtered random variables, which provides in particular an interpolation between non-commutative probabilistic settings such as Boolean and free probability. Given a family of noncommutative probability spaces of the form \((\widehat{\mathcal A} , \widehat{\varphi}) = (\bigotimes_{l\in L} {\mathcal A}_l ,
openaire +1 more source

