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The following term was not found in PubMed: radoption
Page 1
Showing results for radoption markov
Your search for Radostin Merakov retrieved no results
Markov models in medical decision making: a practical guide.
Sonnenberg FA, Beck JR. Sonnenberg FA, et al. Med Decis Making. 1993 Oct-Dec;13(4):322-38. doi: 10.1177/0272989X9301300409. Med Decis Making. 1993. PMID: 8246705
Representing such clinical settings with conventional decision trees is difficult and may require unrealistic simplifying assumptions. Markov models assume that a patient is always in one of a finite number of discrete health states, called Markov states. ...A newer …
Representing such clinical settings with conventional decision trees is difficult and may require unrealistic simplifying assumptions. Ma …
Markov genealogy processes.
King AA, Lin Q, Ionides EL. King AA, et al. Theor Popul Biol. 2022 Feb;143:77-91. doi: 10.1016/j.tpb.2021.11.003. Epub 2021 Dec 9. Theor Popul Biol. 2022. PMID: 34896438 Free PMC article.
We construct a family of genealogy-valued Markov processes that are induced by a continuous-time Markov population process. We derive exact expressions for the likelihood of a given genealogy conditional on the history of the underlying population process. ...
We construct a family of genealogy-valued Markov processes that are induced by a continuous-time Markov population process. We …
Markov models-Markov chains.
Grewal JK, Krzywinski M, Altman N. Grewal JK, et al. Nat Methods. 2019 Aug;16(8):663-664. doi: 10.1038/s41592-019-0476-x. Nat Methods. 2019. PMID: 31363204 No abstract available.
Exchangeable Markov multi-state survival processes.
Dempsey W. Dempsey W. Stat Sin. 2021 Oct;31(4):1807-1828. doi: 10.5705/ss.202018.0403. Stat Sin. 2021. PMID: 34707337 Free PMC article.
We consider exchangeable Markov multi-state survival processes, which are temporal processes taking values over a state-space S , with at least one absorbing failure state b S that satisfy the natural invariance properties of exchangeability and consistency under subsamp …
We consider exchangeable Markov multi-state survival processes, which are temporal processes taking values over a state-space S , wit …
Combining exchangeable P-values.
Gasparin M, Wang R, Ramdas A. Gasparin M, et al. Proc Natl Acad Sci U S A. 2025 Mar 18;122(11):e2410849122. doi: 10.1073/pnas.2410849122. Epub 2025 Mar 14. Proc Natl Acad Sci U S A. 2025. PMID: 40085658 Free PMC article.
The main technical advance is to show that all existing combination rules can be obtained by calibrating the P-values to e-values (using an [Formula: see text]-dependent calibrator), averaging those e-values, converting to a level-[Formula: see text] test using Markov's …
The main technical advance is to show that all existing combination rules can be obtained by calibrating the P-values to e-values (using an …
The Emperor's New Markov Blankets.
Bruineberg J, Dołęga K, Dewhurst J, Baltieri M. Bruineberg J, et al. Behav Brain Sci. 2021 Oct 22;45:e183. doi: 10.1017/S0140525X21002351. Behav Brain Sci. 2021. PMID: 34674782
Consequently, we propose to distinguish between "Pearl blankets" to refer to the original epistemic use of Markov blankets and "Friston blankets" to refer to the new metaphysical construct. Second, we use this distinction to critically assess claims resting on the applicat …
Consequently, we propose to distinguish between "Pearl blankets" to refer to the original epistemic use of Markov blankets and "Frist …
Discrete-time neural Markov models.
Sundell J, Wahlquist Y, Soltesz K. Sundell J, et al. BMC Med Res Methodol. 2026 Jan 22;26(1):21. doi: 10.1186/s12874-026-02769-5. BMC Med Res Methodol. 2026. PMID: 41572163 Free PMC article.
BACKGROUND: Markov models can be used to describe the movement of individuals between states. In medicine, Markov models are used to describe, for example, disease progression and the effects of interventions on such progression. ...The purpose of this work was to d …
BACKGROUND: Markov models can be used to describe the movement of individuals between states. In medicine, Markov models are u …
Markov models - hidden Markov models.
Grewal JK, Krzywinski M, Altman N. Grewal JK, et al. Nat Methods. 2019 Sep;16(9):795-796. doi: 10.1038/s41592-019-0532-6. Nat Methods. 2019. PMID: 31471599 No abstract available.
Qualitative reachability for open interval Markov chains.
Sproston J. Sproston J. PeerJ Comput Sci. 2023 Aug 28;9:e1489. doi: 10.7717/peerj-cs.1489. eCollection 2023. PeerJ Comput Sci. 2023. PMID: 38192481 Free PMC article.
Interval Markov chains extend classical Markov chains with the possibility to describe transition probabilities using intervals, rather than exact values. While the standard formulation of interval Markov chains features closed intervals, previous work has co …
Interval Markov chains extend classical Markov chains with the possibility to describe transition probabilities using interval …
Adaptive Huber Regression on Markov-dependent Data.
Fan J, Guo Y, Jiang B. Fan J, et al. Stoch Process Their Appl. 2022 Aug;150:802-818. doi: 10.1016/j.spa.2019.09.004. Epub 2019 Sep 25. Stoch Process Their Appl. 2022. PMID: 35756192 Free PMC article.
Specifically, we consider an important dependence structure - Markov dependence. Our results show that the Markov dependence impacts on the adaption of the robustification parameter and the estimation of regression coefficients in the way that the sample size should …
Specifically, we consider an important dependence structure - Markov dependence. Our results show that the Markov dependence i …
43,158 results
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