Indian Statistical
Institute
Statistics and Mathematics Unit, Bangalore Centre
is pleased to announce:
Celebration of
Statistics at ISI, Bangalore
A
Conference in Honour of Sunanda Bagchi
January 16, 2020
This event is being organized to celebrate Professor
Sunanda Bagchi's career at the Indian Statistical Institute.
Speakers:
Bikas Sinha (ISI, Kolkata), Mausumi Bose (ISI, Kolkata) .
Time: 11.30 AM - 12.30 PM and 2.00 PM - 5.30 PM.
Date: January 16, 2020
Venue: SSIU Seminar Hall (II floor)
Programme Schedule:
|
11.30 - 12.30 PM
: Bikas Sinha : Some Aspects of Optimal
Covariate Designs in Factorial Experiments 12.30 - 2.00 PM
: Lunch Break 2.00 PM - 3.00
PM : Mousumi Bose: Optimal Crossover Designs for
Inference on Total Effects 3.00 - 3.30 PM :
Tea Break 3.30 - 4.30 PM :
Bikas Sinha : Social Network Analysis for
Understanding of Animal Behavior 4.30 - 5.00 PM :
Coffee and Snack 5.00 PM : Reminiscences |
|
Speaker: Bikas K. Sinha
[Top] Title: Some Aspects of Optimal Covariate Designs in
Factorial Experiments Abstract: We initiate a study in the context of 2^n
-factorial experiments involving the question of optimal allocation of
covariate values. There is one controllable quantitative covariate (x) and it
is assumed to 'cover' two experimental units at a time. Earlier we dealt with
block design set-up [Sinha et al. (2014)]. Here we take up a factorial set-up
and address the question of optimal allocation of the covariate values.
Results are illustrated for 2^2- and 2^3-factorial experiments. [This is
joint work with Professor Prasad Rao, also retired from ISI, Kolkata] |
|
Speaker: Mousumi Bose
[Top] Title: Optimal Crossover Designs for Inference on Total Effects Abstract: Crossover designs are widely used in many areas, particularly in
clinical trials, where each patient receives a sequence of drugs over some time
periods. This results in two types of treatment effects, a direct effect and
a carryover effect. Several optimality results are available for inferring on
these two effects separately. However, a designed experiment recommends a
single treatment for use over longer time periods, and so, it is important to
study the sum of the direct and carryover effects of the same treatment, that
is, the total effect. Not much is known on the optimality of designs for this
total effect. In this talk, we focus on this problem and propose universally
optimal designs for total effects under a non-circular model and correlated
errors. We also report some highly effcient designs in this context. (Joint
work with S. Aboukhamseen and S. Huda, Kuwait University) |
|
Speaker: Bikas K. Sinha
[Top] Title: Social Network Analysis for Understanding of
Animal Behavior Abstract: A Social Network is visually represented by a
diagram called Network Diagram. Based on such a network, we can explain
concepts such as (i) isolated vertices (ii) directed arcs, (iii) symmetric
arcs, (iv) cliques, (v) out-degree : reaching out / expansiveness, (vi)
in-degree : popularity and (vii) reciprocity : symmetric relation. Degree
Centrality, Closeness Centrality, Betweenness Centrality, Eccentricity,
sociometric status are also other parameters of relevance. We will closely
follow Amelia Coleing [Bioscience Horizons: The International Journal of
Student Research, Volume 2, Issue 1, March 2009, Pages 32-43] : The
application of social network theory to animal behavior In this presentation
we will discuss relevant and natural networks formed by a group of 10 Asian
Elephants housed at Chester Zoological Park, UK. The group is composed of
seven females and three males. The group has four juveniles |
Organized by Stat-Math unit, ISI Bangalore.
Note: No travel support will be provided for attending the event. Please
contact jaydeb AT gmail DOT com for any further queries
This page was last modified on November 11, 2019.
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