Results 171 to 180 of about 5,432,397 (302)
Efficient maximum likelihood parameterization of continuous-time Markov processes. [PDF]
McGibbon RT, Pande VS.
europepmc +1 more source
OPERATOR METHODS, ABELIAN PROCESSES AND DYNAMIC CONDITIONING [PDF]
A mathematical framework for Continuous Time Finance based on operator algebraic methods oers a new direct and entirely constructive perspective on the field.
Albanese, Claudio
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A conversation with James V. Zidek
AbstractThis article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges. Zidek is a Fellow of the Royal Society of Canada and
Christian Genest, Nancy E. Heckman
wiley +1 more source
Evaluating Semi-Markov Processes and Other Epidemiological Time-to-Event Models by Computing Disease Sojourn Density as Partial Differential Equations. [PDF]
Worthington J +8 more
europepmc +1 more source
Using semi-Markov processes to study timeliness and tests used in the diagnostic evaluation of suspected breast cancer. [PDF]
Hubbard RA +5 more
europepmc +1 more source
Accurate assessment of systemic drug exposure in humans remains challenging, as conventional approaches rely on intermittent blood sampling and laboratory‐based assays that are invasive and provide limited temporal resolution. Exhaled breath contains volatile and semi‐volatile compounds arising from drug metabolism and downstream biological processes ...
Kai Fricke +12 more
wiley +1 more source
A Reliability Assessment Method for Complex Systems Based on Non-Homogeneous Markov Processes. [PDF]
Pan X, Chen H, Shen A, Zhao D, Su X.
europepmc +1 more source
Inferring parental genomic ancestries using pooled semi-Markov processes. [PDF]
Zou JY +3 more
europepmc +1 more source
On Markov Chains with Uncertain Data [PDF]
In this paper, a general method is described to determine uncertainty intervals for performance measures of Markov chains given an uncertainty region for the parameters of the Markov chains.
Blanc, J.P.C., Hertog, D. den
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