Results 91 to 100 of about 123,412 (280)

Clarification of basic factorization identity is for the almost semi-continuous latticed Poisson processes on the Markov chain

Karpatsʹkì Matematičnì Publìkacìï, 2013
Let $\{\xi(t), x(t)\}$ be a homogeneous semi-continuous lattice Poisson process on the Markov chain. The jumps of one sign are geometrically distributed, and jumps of the opposite sign are arbitrary latticed distribution.
M. S. Gerich
doaj   +1 more source

Beyond our backyard: Unravelling how social‐ecological fit drives the formation of inter‐regional collaborative networks for water governance in the Yellow River Basin

People and Nature, EarlyView.
Abstract The societal and biophysical permeability across human‐demarcated jurisdictions within watersheds necessitates collaboration among administrative regions. The effectiveness of such collaboration is partly determined by the degree to which institutional arrangements align with underlying social and ecological interdependencies, a concept ...
Fang Wang, Haibin Chen, Liqun Shao, Shuai Wang   +3 more
wiley   +1 more source

Description and analysis of non-stationary signals by nested semi-Markov processes

Journal of Measurement Science and Instrumentation, 2014
The possibility of describing the time-dependent processes of scattering by underlying surfaces and the clear sky,as well as the seasonal behaviour of the refractive index of troposphere by using nested semi-Markov processes has been considered.
V F Kravchenko, V I Lutsenko, I V Lutsenko, D O Popov   +3 more
doaj  

A new approach and software support to reliability analysis of repairable complex systems [PDF]

Computer Science Journal of Moldova, 1995
A new method of reliability analysis of complex systems and software supporting is suggested. It is based on modelling of their evolution by means of semi- Markov processes.
A. Corlat, S. Corlat
doaj  

Bridging Human and Plant Adaptations for Climate Resilience

PLANTS, PEOPLE, PLANET, EarlyView.
Climate change is transforming agriculture through both gradual shifts and increasingly unpredictable extremes, challenging farmers' ability to protect crops and livelihoods. This study brings together farmer experiences and plant adaptation strategies to explore how people and plants respond to similar climate pressures.
Nicola Favretto, Heng Lim Tan, Gemma Brain, Daphne Ezer   +3 more
wiley   +1 more source

Wide sense one-dependent processes with embedded Harris chains and their applications in inventory management [PDF]

In this paper we consider stochastic processes with an embedded Harris chain. The embedded Harris chain describes the dependence structure of the stochastic process.
Bazsa, E.M., Iseger, P. den
core   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry   +4 more
wiley   +1 more source

Proper account of auto-correlations improves decoding performances of state-space (semi) Markov models

Peer Community Journal
State-space models are widely used in ecology to infer hidden behaviors. This study develops an extensive numerical simulation-estimation experiment to evaluate the state decoding accuracy of four simple state-space models.
Bez, Nicolas, Gloaguen, Pierre, Etienne, Marie-Pierre, Lanco, Sophie, Joo, Rocío, Rivot, Etienne, Walker, Emily, Woillez, Mathieu, Mahévas, Stéphanie   +8 more
doaj   +1 more source

Measured‐State Conditioned Recursive Feasibility for Stochastic Model Predictive Control

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we address the problem of designing stochastic model predictive control (SMPC) schemes for linear systems affected by unbounded disturbances. The contribution of the paper is rooted in a measured‐state initialization strategy. First, due to the nonzero probability of violating chance‐constraints in the case of unbounded noise ...
Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene   +2 more
wiley   +1 more source

Fractional derivative in continuous-time Markov processes and applications to epidemics in networks

Physical Review Research
Continuous-time Markov processes are governed by the Chapman-Kolmogorov differential equation. We show that replacing the standard time derivative of the governing equation with a Caputo fractional derivative of order ...
Matteo D'Alessandro, Piet Van Mieghem
doaj   +1 more source