activity
20122026
most citedMultivariate Bayesian Structural Time Series Model

51 citations · 80 across the 6 of their papers we have counts for

collaborators

6 papers

math.PR2026

The limit law of the largest interpoint distance in a -dimensional ellipsoid

Norbert Henze, Sreenivasa Rao Jammalamadaka

We consider the largest interpoint distance among independent random points , uniformly distributed on a -dimensional ellip…

stat.ML2018★ 51 cited

Multivariate Bayesian Structural Time Series Model

S. Rao Jammalamadaka, Jinwen Qiu, Ning Ning

This paper deals with inference and prediction for multiple correlated time series, where one has also the choice of using a candidate pool of contemporaneous predictors for each t…

math.PR2017★ 7 cited

The Tightness of the Kesten-Stigum Reconstruction Bound of Symmetric Model with Multiple Mutations

Wenjian Liu, S. Rao Jammalamadaka, Ning Ning

It is well known that reconstruction problems, as the interdisciplinary subject, have been studied in numerous contexts including statistical physics, information theory and comput…

stat.ME2017

Harmonic analysis and distribution-free inference for spherical distributions

S. Rao Jammalamadaka, Gyorgy Terdik

Fourier analysis and representation of circular distributions in terms of their Fourier coefficients, is quite commonly discussed and used for model-free inference such as testing…

math.PR2014★ 11 cited

On Edgeworth Expansions in Generalized Urn Models

Sh. M. Mirakhmedov, S. Rao Jammalamadaka, Ibrahim B. Mohamed

The random vector of frequencies in a generalized urn model is viewed as conditionally independent random variables, given their sum. Such a representation is exploited to derive E…

math.PR2012★ 11 cited

Asymptotic distribution of the maximum interpoint distance in a sample of random vectors with a spherically symmetric distribution

Sreenivasa Rao Jammalamadaka, Svante Janson

Extreme value theory is part and parcel of any study of order statistics in one dimension. Our aim here is to consider such large sample theory for the maximum distance to the orig…