Graduate Student Seminar

Location

University Center : 115

Date & Time

April 5, 2017, 11:00 am12:00 pm

Description

Session ChairRowena Bastero
DiscussantDr. Sinha

Speaker 1: Qing Ji
Title
An Introduction to Markov Switching Models
Abstract
Markov switching models are a natural extension of the finite mixture models, which could be useful when error source are potentially from multiple different distributions and its label is missing.  I will give a short introduction on the basics of the finite mixture models and Markov chain, and combine the two to introduce Markov switching model and ways of estimation and inference.  Lastly, I will briefly explain my current work involving Fisher information matrix of Markov switching models.

Speaker 2: Maria Deliyianni
Title
Finite Element Method in 1 Dimension
Abstract
In this talk we will discuss about the Finite Element Method in approximating the solution to a boundary value problem in 1-D on the interval [a,b]. By converting the problem into the variational form, we will be able to discretize it and seek for an approximation of the solution in a finite dimensional subspace. This is obtained by partitioning the interval [a,b] and approximate the solution in each subinterval using basis functions of the finite dimensional subspace.