Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 7 of 7 for “"Sub-Gaussian"”.
-
An alternative model for multivariate stable distributions
… of [J36] and derives an alternative to the sub-Gaussian alpha-stable distribution as another model for multivariate stable data without using the spectral measure as a dependence structure. From our investigation, firstly, we echo that the assumption of "Gaussianity" must be rejected, as a …
-
MMSE estimation from quantized observations in the nonasymptotic regime
… independent) when the full MMSE estimator has a sub-Gaussian concentration property.
-
Integral geometry, Hamiltonian dynamics, and Markov Chain Monte Carlo
… of modes intersected by the algorithm's search-subspaces can grow exponentially in the dimension, greatly increasing the mixing time. We use integral geometry, together with the Hessian of r and the Chern-Gauss-Bonnet theorem, to correct these distortions and avoid this exponential increase in …
-
Development and Application of Effective Stochastic Potential Method for Investigating Temperature-dependent Electronic Properties of Nanomaterials
… distributions in PbS nanoparticles exhibit sub-Gaussian characteristics at physically-relevant temperatures. These results highlight the ability of the ESP method to uncover unique temperature-dependent features of quantum mechanical distributions that may otherwise be impossible to obtain. …
-
New Theory and New Practical Methods for Solving Large-Scale Linear and Conic Optimization
… LP problems, its performance can have substantial variance and an intuitive understanding of the drivers of its performance has been lacking. In this context the research in this thesis has three related goals: (i) the development of new theory to explain the performance of PDHG for …
-
A concentration inequality based statistical methodology for inference on covariance matrices and operators
… and inferential procedures can be and are subsequently developed. For high dimensional data, we propose a method to search a concentration in- equality based confidence set using a binary search algorithm for the estimation of large sparse covariance matrices. Both sub-Gaussian and …