Results 101 to 110 of about 31,071 (152)
Remote sensing and GIS-based modelling of land use dynamics and urban flood risk in Lagos megacity for future flood mitigation. [PDF]
Sci RepAniramu O, Iyanda O, Orimoogunje O.
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Research on coupling coordination of new quality productive forces and innovation resource allocation based on MLP neural networks. [PDF]
Sci RepLiu Y, Wang L, Chen B, Shan H.
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Modeling gaze behavior with continuous-time markov chains to investigate social attention dynamics in autism. [PDF]
Sci RepBruschetta R +15 more
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Setting digital psychiatry in motion: towards dynamic digital markers for digital phenotyping. [PDF]
NPP Digit Psychiatry NeurosciConstant A, Koksal CE, Palaniyappan L.
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2014
We present here a short summary of the parts of the theory of Markov processes with countable state space that is used in the chapters describing stochastic models of populations. The presentation will be restricted to Markov process that are generated by an infinitesimal transition matrix, as discussed below.
Mimmo Iannelli, Andrea Pugliese
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We present here a short summary of the parts of the theory of Markov processes with countable state space that is used in the chapters describing stochastic models of populations. The presentation will be restricted to Markov process that are generated by an infinitesimal transition matrix, as discussed below.
Mimmo Iannelli, Andrea Pugliese
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2012
We generalize the processes discussed in the last three chapters even further by allowing an instantaneous transition from any state into any other (meaning different) state, with each such transition having its own specific rate. These new processes are so much more difficult to investigate that we are forced to abandon the infinite-state space and ...
Jan Vrbik, Paul Vrbik
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We generalize the processes discussed in the last three chapters even further by allowing an instantaneous transition from any state into any other (meaning different) state, with each such transition having its own specific rate. These new processes are so much more difficult to investigate that we are forced to abandon the infinite-state space and ...
Jan Vrbik, Paul Vrbik
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Finite Continuous Time Markov Chains
Theory of Probability & Its Applications, 1961In a recent book by the authors (see footnote on page 101) a systematic method was developed for computing the basic descriptive quantities of finite Markov chains. Matrix expressions were obtained for these quantities in terms of certain basic matrices, easily obtainable from the transition matrix.In this note, corresponding expressions are given for ...
Kemeny, J. G., Snell, J. L.
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2018
We will write a language for specifying continuous-time Markov chains (CTMCs) and for computing the likelihood of parameters in such CTMCs given a trace of which states the chain is in at different time points. As with the list comprehension example in the previous chapter, we are not going to use operators to create a new syntax for the language but ...
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We will write a language for specifying continuous-time Markov chains (CTMCs) and for computing the likelihood of parameters in such CTMCs given a trace of which states the chain is in at different time points. As with the list comprehension example in the previous chapter, we are not going to use operators to create a new syntax for the language but ...
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Continuous — Time Markov Chains
1996Poisson processes in Lesson 4 are examples of continuous-time stochastic processes (with discrete state spaces) having the Markov property in the continuous-time setting. In this Lesson, we discuss the probabilistic structure and some computational aspects of such processes with emphasis on Birth and Death chains.
Denis Bosq, Hung T. Nguyen
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