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Contact Details: | School of Computer Science and
Statistics, Lloyd Institute (Room 105), Trinity College, Dublin 2, Ireland. |
Phone: |
+353
(0)
1
896
2048 |
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Fax: |
+353 (0) 1 677 0711 |
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E-mail: |
bhattaca@tcd.ie |
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Summary of Research:
The problem of performing online inference when observations arrive
sequentially in time is well known in the statistical and engineering
communities. Statisticians have come up with several
state-of-the-art techniques to make inferences to online problems,
while keeping a balance between accuracy and speed. My current
research focuses on developing a new technique that would be able to
cater for high dimensionality and speed at the same time.
I am trying to develop a functional approximation to prediction of
general state space models, where the latent variable can be high
dimensional and parameters can be assumed to be unknown. I plan
to extend this is a spatial setting in the future.
General interests: I have a strong interest in Bayesian
Statistics and its applications. I am also particulary interested
in classical Time Series and regression, both linear and
non-linear. State-Space modelling is my current area of
interest.
Publications and Presentations:
B. Houlding, A. Battacharya, S. P. Wilson, and T. K. Forde, 'A fast
Bayesian model for latent radio signal prediction'. Technical
Report (09/02) , Trinity College Dublin, 2009.