Results 141 to 150 of about 1,853,662 (312)

Coalescence in Markov chains

open access: yes
Accepted version for the Journal of Theoretical ...
Grimmett, Geoffrey R, Holmes, Mark
openaire   +3 more sources

Time‐Variant Seismic Fragility of Reinforced Concrete Bridge Piers Considering Degradation Phenomena

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Aging and environmental exposure progressively deteriorate the physical and mechanical properties of construction materials, thereby affecting the safety and functionality of existing infrastructure. Corrosion of steel rebars in reinforced concrete structures is widely acknowledged as the most common and detrimental degradation phenomenon, as ...
Paolo Andrea Miglietta   +4 more
wiley   +1 more source

Estimating Components in Finite Mixtures and Hidden Markov Models [PDF]

open access: yes
When the unobservable Markov chain in a hidden Markov model is stationary the marginal distribution of the observations is a finite mixture with the number of terms equal to the number of the states of the Markov chain.
D.S. Poskitt, Jing Zhang
core  

Markov chain analysis to detect water quality level [PDF]

open access: yes, 2013
The quantificational analysis on progress of river water quality is important in knowing the dynamic change of water quality level. A mathematical model based on Markov chain is established in order to detect the water quality level in rivers.
Rahman, Nurul Nabihah
core  

A Practical Formulation for Seismic Damage Accumulation on Multiple Mainshock‐Aftershock Sequences Based on Disaggregation of the Mainshock Hazard

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Earthquakes often occur in clusters (foreshocks, mainshocks, and aftershocks) and can lead to cumulative structural damage. Many studies have extended traditional performance‐based earthquake engineering (PBEE) to account for damage accumulation in multiple mainshock‐aftershock (MS‐AS) sequences using Markov chain processes and state‐dependent
Babak Ghods, A. H. M. Muntasir Billah
wiley   +1 more source

Energy‐Flow Regimes and Their Temporal Transitions in a PV‐Building System

open access: yesEnergy Science &Engineering, EarlyView.
Unlike production and consumption, which act as external factors, generated energy flows reflect the system's internal behavior regarding energy allocation at each time step. The combination of self‐consumption, surplus, and import of surplus energy into the power grid characterizes how electricity is routed between the building's local consumption and
Jacek Caban   +3 more
wiley   +1 more source

Effect of volume for injection of the 15th to 16th thoracic interspinous space: An ex vivo study

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Impinging (overriding) spinous processes (ISPs) are commonly identified in horses with back pain. Diagnostic analgesia is widely used as the clinical reference standard for confirming association with clinical signs of back pain, but the specificity of dorsal spinous region diagnostic analgesia remains poorly understood.
Virginia Melly   +6 more
wiley   +1 more source

The Reconstructability of Markov Chains

open access: yesThe Annals of Probability, 1976
As an extension of the work of Denzel, Kemeny, and Snell on the excessive functions of a continuous time Markov chain, this paper introduces the concept of reconstructability in two forms. First, there is reconstructability from the class of excessive functions, where it is seen that the transition matrix for a transient chain with a finite atomic exit
openaire   +3 more sources

IMPOSING CURVATURE RESTRICTIONS ON A TRANSLOG COST FUNCTION USING A MARKOV CHAIN MONTE CARLO SIMULATION APPROACH [PDF]

open access: yes
Using Kansas Farm data from 1973 to 1998, curvature restrictions are imposed on a translog cost function. Using uninformative priors with indicator functions representing distribution and inequality constraints, a Markov Chain Monte Carlo Simulation ...
Featherstone, Allen M.   +2 more
core  

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

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