Results 61 to 70 of about 15,601 (265)
Jump-Diffusion Risk-Sensitive Asset Management II: Jump-Diffusion Factor Model [PDF]
In this article we extend earlier work on the jump-diffusion risk-sensitive asset management problem [SIAM J. Fin. Math. (2011) 22-54] by allowing jumps in both the factor process and the asset prices, as well as stochastic volatility and investment constraints. In this case, the HJB equation is a partial integro-differential equation (PIDE).
Mark Davis, Sebastien Lleo
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This review summarizes the transcription factors, repressive chromatin‐modifying complexes, and epigenetic mechanisms that control fetal hemoglobin repression. Notably, many regulators of γ‐globin silencing also function in transcriptional and epigenetic networks that drive cancer, highlighting opportunities to translate advances in hemoglobinopathy ...
Meigen Yu +3 more
wiley +1 more source
Dynamics of a Stochastic COVID-19 Epidemic Model with Jump-Diffusion [PDF]
Tesfay A +5 more
europepmc +2 more sources
On the exact simulation of (jump) diffusion bridges [PDF]
12 pages, 3 ...
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Spatial biology in cancer epigenetics
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
Jump locations of jump-diffusion processes with state-dependent rates [PDF]
We propose a general framework for studying jump-diffusion systems driven by both Gaussian noise and a jump process with state-dependent intensity. Of particular natural interest are the jump locations: the system evaluated at the jump times. However, the state-dependence of the jump rate provides direct coupling between the diffusion and jump ...
Christopher E Miles, James P Keener
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RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Pathwise observables—functionals of stochastic trajectories—are at the heart of time-averaged statistical mechanics and are central to thermodynamic inequalities such as uncertainty relations, speed limits, and correlation bounds. They provide a means of
Lars Torbjørn Stutzer +2 more
doaj +1 more source
Analysis of a stochastic single species model with Allee effect and jump-diffusion
In this paper, we consider the effects of the small and abrupt random perturbations in the environment, and formulate a stochastic single species model with Allee effect and jump-diffusion.
Yalin Jin
doaj +1 more source
On the Jumps of Time Changed Diffusions
Assuming points to be polar, a time changed diffusion has zero or an infinity of jumps in any predictable set.
openaire +3 more sources

