Date 
Speaker/Institution 
Title and Abstract 
Sep. 8 
No Talk this Friday! 

Sep. 15 
Gilberto Gonzalez Parra (NMT) 
Title:
Different topics in applied mathematics Abstract: In this talk I will
discuss different topics in the field of applied
mathematics, and mainly mathe matical models in
infectious diseases.
First I will introduce the most important mathematical mod els in infectious disease such as SusceptibleInfectedRecovered (SIR) and SusceptibleExposed InfectedRecovered (SEIR) models. Secondly, I will do a brief description of other models that depend on processes at scales ranging from cellular to environmental. In addition, I will show some aspects regarding the mathematical modeling process and some numerical and statistical methods related to it. I will point out the most important challenges and perspectives. An introduction to the modeling of social behaviors is also included. Different mathematical tools such stochastic, delay or fractional differential equations used in applied mathematics are presented in order to show a va riety of options. Through the talk I will remark why the choice of the theoretical framework from the mathematical point of view is important since this aspect allows a better approximation to the real phenomenon. In addition, different perspectives to extend some mathematical models and their paradigms are introduced. 
Sep. 22 
Oleg Makhnin (NMT) 
Title: Multiple
testing for genetics applications: the next step Abstract: Bioinformatics applications
(microarrays, RNAseq) require in gene expression studies, two or
more groups are simultaneous testing of
multiple quantitative traits. For
example,
compared, and we wish to identify which genes
are expressed differently in these groups.
Based on a
Bayesian framework developed earlier, I propose
extensions for testing with correlated data, and for multilevel testing.
Additionally, I present some opportunities for
students to get
involved.

Sep. 29 
Anwar Hossain (NMT)  Title: Bayesian estimation and
prediction for the Maxwell Failure distribution based on
Type II censored data
We present Bayes
estimators, highest posterior density (HPD) intervals,
and maximum likelihood estimators (MLEs), for the
Maxwell failure distribution based on Type II censored
data, i.e. using the
first r lifetimes from a group of n components
under test. Reliability/Hazard
function estimates, Bayes predictive distributions and
highest posterior density prediction intervals for a
future observation are also considered. Two data
examples and a Monte Carlo simulation study are used to
illustrate the results and compare the performances of
the different methods. 
Oct. 6 

Oct. 13 

Oct. 20 

Oct. 27 
Mingji Zhang (NMT)  Title: Qualitative
properties of ionic flows via PoissonNernstPlanck
models: Selectivity of cations Abstract: We study a quasionedimensional PNP model with three ion species, two positively charged and one negatively charged with zero permanent charge. Of particular interest is the selectivity of cations, such as K^+ and Na^+ due to boundary conditions. Nonlinear interplays among physical parameters are carefully characterized, which provide useful and deep insights for further studies. 
Nov. 3 

Nov. 10 

Nov. 17 

Nov. 24 
Holiday 

Dec. 1 
