Results 211 to 220 of about 113,981 (269)

Identification and quantification of irreversibility in stochastic systems.

Phys Chem Chem Phys
Ghosal A, Bisker G.
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Impact of Neuron Models on Spiking Neural Network Performance: A Complexity-based Classification Approach. [PDF]

Neuroinformatics
Rudnicka Z, Szczepanski J, Pregowska A.
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Decoupling between activation time and steady-state level in input-output responses. [PDF]

PLoS Comput Biol
Ravanelli G, Nam KM, Gunawardena J, Martinez-Corral R.   +3 more
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An Overview and Recent Developments in the Analysis of Multistate Processes. [PDF]

Stat Med
Gorfine M, Cook RJ, Kragh Andersen P, Therneau TM, Joly P, Putter H, Pohar Perme M, Abrahamowicz M, Topic Group 8 “Survival Analysis” of the STRATOS Initiative.   +8 more
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Clustering methods for categorical time series and sequences : a scoping review. [PDF]

BMC Med Res Methodol
Khalifa O, Balendran A, Tran VT, Petit F.   +3 more
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Distribution dynamics and spatial dependence in healthcare resource allocation efficiency: evidence of path dependence and club formation in China. [PDF]

Front Public Health
Lyu T.
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Neural barcoding representing cortical spatiotemporal dynamics based on continuous-time Markov chains. [PDF]

Cell Rep Methods
Culp JM, Ashby DM, George AG, Teskey GC, Nicola W, McGirr A.   +5 more
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Strong Markov Processes

Theory of Probability & Its Applications, 1956
Let $\mathcal{E}$ be a metric space, and suppose that $\mathfrak{B}$ is the Borel field generated by the open sets of $\mathcal{E}$. A stochastic process is defined on $\mathcal{E}$ if a function $x(t,\omega )$$(0 \leqq t < \infty ,\omega \in \Omega )$ and a system of probability measures ${\bf P}_x (x \in \mathcal{E})$ are given such that all ${\bf P ...
Dynkin, E. B., Yushkevich, A. A.
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