منابع مشابه
Human Inferences about Sequences: A Minimal Transition Probability Model
The brain constantly infers the causes of the inputs it receives and uses these inferences to generate statistical expectations about future observations. Experimental evidence for these expectations and their violations include explicit reports, sequential effects on reaction times, and mismatch or surprise signals recorded in electrophysiology and functional MRI. Here, we explore the hypothes...
متن کاملA Transition Probability Model for Amino Acid Substitutions from Blocks
Substitution matrices have been useful for sequence alignment and protein sequence comparisons. The BLOSUM series of matrices, which had been derived from a database of alignments of protein blocks, improved the accuracy of alignments previously obtained from the PAM-type matrices estimated from only closely related sequences. Although BLOSUM matrices are scoring matrices now widely used for pr...
متن کاملAdaptation of Transition Probability Matrix for Multiple Model Estimators
This work addresses the problem of state estimation for Markovian switching systems with unknown transition probability matrix (TPM) of the embedded Markov chain governing the switching. Under the assumption of constant but random TPM, an approximate recursion of the TPM’s posterior probability density function (PDF) within the Bayesian framework is obtained. This general PDF recursion is then ...
متن کاملTransition Probability and Preferential Gauge
This paper is concerned with whether or not the preferential gauge can ensure the uniqueness and correctness of results obtained from the standard time-dependent perturbation theory, in which the transition probability is formulated in terms of matrix elements of Hamiltonian. For a dynamical quantum process, the major objective of the existing perturbation theory is to calculate the transition ...
متن کاملOn the Limiting Probability Distribution of a Transition Probability Tensor
In this paper we propose and develop an iterative method to calculate a limiting probability distribution vector of a transition probability tensor P arising from a higher-order Markov chain. In the model, the computation of such limiting probability distribution vector x can be formulated as a Z-eigenvalue problem Pxm−1 = x associated with the eigenvalue 1 of P where all the entries of x are r...
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ژورنال
عنوان ژورنال: Mathematical and Computer Modelling
سال: 2007
ISSN: 0895-7177
DOI: 10.1016/j.mcm.2006.03.019