Title:  Optimization Algorithms For Training Deep Neural Networks Abstract A formal representation of a deep neural network is constructed, and it is demonstrated that networks satisfying the...

Title: Topics in Data Assimilation and Stochastic Partial Differential Equations Abstract In the first part of the presentation, we consider data assimilation for Navier-Stokes equations, the...

Title: Bayesian Analysis of Synthetic Data under Multiple Linear Regression, Multivariate Normal and Multivariate Regression Models Abstract Statistical Disclosure Control (SDC) methods are...

Title: Methods for Joint Modeling in the Longitudinal Data Analysis Abstract We study statistical methods for joint modeling that accommodates the correlations among multiple longitudinal...

Title: Rectangular statistical regions with applications in laboratory medicine and calibration Abstract Reference intervals are among the most widely used medical decision-making tools, and...

Note:  This dissertation defense will be conducted via Google Meet Title: Some criteria and tests for the assessment of bioequivalence and biosimilarity Abstract Bioequivalence testing deals...

Note:  This dissertation defense will be conducted via Google Meet Title: Accurate and efficient solution of the Stokes-Brinkman problem Abstract We consider three problems related to the...

Note:  This dissertation defense will be conducted via WebEx Title: Latent Propensity Score Approaches for Causal Effect Estimation Allowing Covariate Measurement Error and Non-Directly...

Note:  This dissertation defense will be conducted through WebEx Title: The Disruption of Bursting Behavior in Pancreatic Islets: A Network and Dynamical Systems Analysis of Multicellular...

Title: Computational methods for hidden Markov models with applications Abstract Hidden Markov models (HMM) are used in applications when the data structure contains a latent Markov chain....