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Shreya Mehta

Publications and source records attributed to Shreya Mehta.

3 recordsLinked to original sources

Analysis of dissipative dynamics on noncommutative spaces and statistical inference of continuous time network stochastic processes

In this thesis, we analyse the generalisations of the Ornstein-Uhlenbeck (OU) semigroup and study them in both quantum and classical setups. In the first three chapters, we analyse the dissipative dynamics on noncommutative/quantum spaces, in particular, the systems with multiparticle interactions associated to CCR algebras. We provide various models where the dissipative dynamics are constructed using noncommutative Dirichlet forms. Some of our models decay to equilibrium algebraically and the Poincare inequality does not hold. Using the classical representation of generators of nilpotent Lie algebras, we provide the noncommutative representations of Lie algebras in terms of creation and annihilation operators and discuss the construction of corresponding Dirichlet forms. This introduces the opportunity to explore quantum stochastic processes related to Lie algebras and nilpotent Lie algebras. Additionally, these representations enable the investigation of the noncommutative analogue of hypoellipticity. In another direction, we explore the potential for introducing statistical models within a quantum framework. In this thesis, however, we present a classical statistical model of multivariate Graph superposition of OU (Gr supOU) process which allows for long(er) memory in the modelling of sparse graphs. We estimate these processes using generalised method of moments and show that it yields consistent estimators. We demonstrate the asymptotic normality of the moment estimators and validate these estimators through a simulation study.

math-ph

Statistical inference for Levy-driven graph supOU processes: From short- to long-memory in high-dimensional time series

This article introduces Levy-driven graph supOU processes, a parsimonious parametrisation for high-dimensional time series in which dependence between components is governed by a graph structure. Specifically, the model bridges short- and long-range dependence within a single parametric family while accommodating a wide range of marginal distributions. We further develop a generalised method of moments estimator, establish its consistency and asymptotic normality, and assess its finite-sample performance through a simulation study. Finally, we illustrate the practical relevance of our model and estimation method in an empirical study of wind capacity factors in a European electricity network context.

stat.ME

Dissipative dynamics for infinite lattice systems

We study dissipative dynamics constructed by means of non-commutative Dirichlet forms for various lattice systems with multiparticle interactions associated to CCR algebras. We give a number of explicit examples of such models. Using an idea of quasi-invariance of a state, we show how one can construct unitary representations of various groups. Moreover in models with locally conserved quantities associated to an infinite lattice we show that there is no spectral gap and the corresponding dissipative dynamics decay to equilibrium polynomially in time.

math-ph