Search results for "moderate deviations"

showing 3 items of 3 documents

Analysis of random walks on a hexagonal lattice

2019

We consider a discrete-time random walk on the nodes of an unbounded hexagonal lattice. We determine the probability generating functions, the transition probabilities and the relevant moments. The convergence of the stochastic process to a 2-dimensional Brownian motion is also discussed. Furthermore, we obtain some results on its asymptotic behavior making use of large deviation theory. Finally, we investigate the first-passage-time problem of the random walk through a vertical straight-line. Under suitable symmetry assumptions we are able to determine the first-passage-time probabilities in a closed form, which deserve interest in applied fields.

Random walk01 natural sciences010104 statistics & probabilityModerate deviations0103 physical sciencesFOS: MathematicsHexagonal latticeHexagonal latticeProbability-generating functionStatistical physics0101 mathematics010306 general physicsBrownian motionMathematicsStochastic processApplied MathematicsProbability (math.PR)Random walkSymmetry (physics)Random walk; Hexagonal lattice; Probability generating function; Large deviations; Moderate deviations; First-passage timeSettore MAT/06 - Probabilita' e Statistica MatematicaLarge deviationsProbability generating functionLarge deviations theoryFirst-hitting-time modelMathematics - Probability60J15 60F10 82C41First-passage time
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A PHASE TRANSITION FOR LARGE VALUES OF BIFURCATING AUTOREGRESSIVE MODELS

2019

We describe the asymptotic behavior of the number $$Z_n[a_n,\infty )$$ of individuals with a large value in a stable bifurcating autoregressive process, where $$a_n\rightarrow \infty $$ . The study of the associated first moment is equivalent to the annealed large deviation problem of an autoregressive process in a random environment. The trajectorial behavior of $$Z_n[a_n,\infty )$$ is obtained by the study of the ancestral paths corresponding to the large deviation event together with the environment of the process. This study of large deviations of autoregressive processes in random environment is of independent interest and achieved first. The estimates for bifurcating autoregressive pr…

Statistics and Probability[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Phase transitionrandom environmentGeneral Mathematicsmedia_common.quotation_subjectmoderate deviationslimit-theoremsmarkov-chainsStatistics::Other StatisticsBranching processdeviation inequalities92D2501 natural sciencesAsymmetry010104 statistics & probability[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Convergence (routing)[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Applied mathematics60C05[MATH]Mathematics [math]0101 mathematicsautoregressive process60J20lawMathematicsBranching processmedia_commonEvent (probability theory)parametersconvergenceMarkov chain010102 general mathematics[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Large deviationslarge deviations Mathematics Subject Classification (2010): 60J8060K37Autoregressive modelcellsLarge deviations theoryStatistics Probability and Uncertaintyasymmetry60F10
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Random time-changes and asymptotic results for a class of continuous-time Markov chains on integers with alternating rates

2021

We consider continuous-time Markov chains on integers which allow transitions to adjacent states only, with alternating rates. We give explicit formulas for probability generating functions, and also for means, variances and state probabilities of the random variables of the process. Moreover we study independent random time-changes with the inverse of the stable subordinator, the stable subordinator and the tempered stable subodinator. We also present some asymptotic results in the fashion of large deviations. These results give some generalizations of those presented in Di Crescenzo A., Macci C., Martinucci B. (2014).

Statistics and ProbabilityPure mathematicsSubordinatormoderate deviationsInversefractional processfractional process; large deviations; moderate deviations; tempered stable subordinatorlarge deviationsChain (algebraic topology)FOS: MathematicsProbability-generating function60F10 60J27 60G22 60G52MathematicsMarkov chainlcsh:T57-57.97lcsh:MathematicsProbability (math.PR)State (functional analysis)tempered stable subordinatorlcsh:QA1-939Modeling and SimulationSettore MAT/06lcsh:Applied mathematics. Quantitative methodsLarge deviations theoryStatistics Probability and UncertaintyRandom variableMathematics - Probability
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