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20062025
most citedStatistical inference for time-varying ARCH processes

254 citations · 420 across the 12 of their papers we have counts for

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11 papers · 1 filter

math.ST2025

Conditionally specified graphical modeling of stationary multivariate time series

Anirban Bhattacharya, Jan Johannes, Suhasini Subba Rao

Graphical models are ubiquitous for summarizing conditional relations in multivariate data. In many applications involving multivariate time series, it is of interest to learn an i…

math.ST2022★ 2 cited

Inverse covariance operators of multivariate nonstationary time series

Jonas Krampe, Suhasini Subba Rao

For multivariate stationary time series many important properties, such as partial correlation, graphical models and autoregressive representations are encoded in the inverse of it…

math.ST2021

Graphical models for nonstationary time series

Sumanta Basu, Suhasini Subba Rao

We propose NonStGM, a general nonparametric graphical modeling framework for studying dynamic associations among the components of a nonstationary multivariate time series. It buil…

math.ST2020★ 7 cited

Reconciling the Gaussian and Whittle Likelihood with an application to estimation in the frequency domain

Suhasini Subba Rao, Junho Yang

In time series analysis there is an apparent dichotomy between time and frequency domain methods. The aim of this paper is to draw connections between frequency and time domain met…

math.ST2014

Statistical inference for spatial statistics defined in the Fourier domain

Suhasini Subba Rao

A class of Fourier based statistics for irregular spaced spatial data is introduced, examples include, the Whittle likelihood, a parametric estimator of the covariance function bas…

math.ST2011★ 19 cited

The quantile spectral density and comparison based tests for nonlinear time series

Junbum Lee, Suhasini Subba Rao

In this paper we consider tests for nonlinear time series, which are motivated by the notion of serial dependence. The proposed tests are based on comparisons with the quantile spe…