Results 171 to 180 of about 5,432,397 (302)

OPERATOR METHODS, ABELIAN PROCESSES AND DYNAMIC CONDITIONING [PDF]

open access: yes
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
core  

A conversation with James V. Zidek

open access: yesCanadian Journal of Statistics, EarlyView.
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]

open access: yesMed Decis Making
Worthington J   +8 more
europepmc   +1 more source

To reverse a Markov process

open access: yesActa Mathematica, 1969
Chung, K. L., Walsh, John B.
openaire   +3 more sources

Non‐Invasive Estimation of Systemic Drug Exposure Using Exhaled Breath Metabolomics in Humans: A Translational Proof‐of‐Concept Study

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
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

Inferring parental genomic ancestries using pooled semi-Markov processes. [PDF]

open access: yesBioinformatics, 2015
Zou JY   +3 more
europepmc   +1 more source

On Markov Chains with Uncertain Data [PDF]

open access: yes
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
core  

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