My research interest revolves around speeding up Bayesian computation using the variational Bayes technique, a method of functional approximation that seeks to maintain accuracy. PhD Thesis Title: Variational Bayes approximation for inverse regression problems.
Publication: “R Vatsa and S.P. Wilson, The Variational Bayes Method For Inverse Regression Problems With an Application To The Palaeoclimate Reconstruction (2010)” Journal of Combinatorics, Information & System Sciences, 35 (1–2), 221–248.
Presentations at Conferences:"VB approximation for Factor Analysis with parameterized factor loading matrix, and other examples of problems with its implementation'' at International Society for Bayesian Analysis (ISBA) 9th world meeting.
"The VB method with its application to complex problems eg. Palaeoclimate reconstruction, GLM" at 32nd Research Students'coneference (RSC).
"The Variational Bayes Method with Its Application to Complex Problems eg. Palaeoclimate Reconstruction, GLM and Multimodality" at International Conference on Interdisciplinary Mathematial and Statistical Techniques (IMST) 2009.
"The Variational Bayes Method for an Inverse Problem with Application to the Palaeoclimate Reconstruction" at 2009 Joint Statistical Meetings (JSM).
"The variational Bayes method for inverse problems with applications to the palaeoclimate reconstruction" at International Conference on Statistics, Probibility, Operation Research, Computer Science and alied Areas (IISA-ISPS) 2010.
“The variational Bayes method for inverse regression problems with application to the palaeoclimate reconstruction”, a poster, at Ninth Valencia International Meeting on Bayesian, 2010.
“The variational Bayes method for inverse regression problems with application to the palaeoclimate reconstruction”, a poster, at 11th International Meeting for Statistical Climatology, 2010.
Experience: Almost 1yr teaching experience at lady Shri Ram College for DU.
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