3 citations · 9 across the 15 of their papers we have counts for
16 papers
Quasi-Periodic Gaussian Process Predictive Iterative Learning Control
Unnati Nigam, Radhendushka Srivastava, Faezeh Marzbanrad +1
Repetitive motion tasks are common in robotics, but performance can degrade over time due to environmental changes and robot wear and tear. Iterative learning control (ILC) improve…
Correction of Pooling Matrix Mis-specifications in Compressed Sensing Based Group Testing
Shuvayan Banerjee, Radhendushka Srivastava, James Saunderson +1
Compressed sensing, which involves the reconstruction of sparse signals from an under-determined linear system, has been recently used to solve problems in group testing. In a publ…
A structural equation formulation for general quasi-periodic Gaussian processes
Unnati Nigam, Radhendushka Srivastava, Faezeh Marzbanrad +1
This paper introduces a structural equation formulation that gives rise to a new family of quasi-periodic Gaussian processes, useful to process a broad class of natural and physiol…
Fast Debiasing of the LASSO Estimator
Shuvayan Banerjee, James Saunderson, Radhendushka Srivastava +1
In high-dimensional sparse regression, the \textsc{Lasso} estimator offers excellent theoretical guarantees but is well-known to produce biased estimates. To address this, \cite{Ja…
Robust Non-adaptive Group Testing under Errors in Group Membership Specifications
Shuvayan Banerjee, Radhendushka Srivastava, James Saunderson +1
Given samples, each of which may or may not be defective, group testing (GT) aims to determine their defect status by performing tests on `groups', where a group is for…
Apparent ice accumulation rate in East Antarctica: Relation with temperature and thinning pattern
Radhendushka Srivastava, Debasis Sengupta, Prosenjit Ghosh
We present here formal evidence of a strong linkage between temperature and East Antarctic ice accumulation over the past eight hundred kiloyears, after accounting for thinning. Th…
A semi-parametric model for assessing the effect of temperature on ice accumulation rate from Antarctic ice core data
Radhendushka Srivastava, Debasis Sengupta
In this paper, we present a semiparametric model for describing the effect of temperature on Antarctic ice accumulation on a paleoclimatic time scale. The model is motivated by sha…
Reconstruction of Sparse Signals under Gaussian Noise and Saturation
Shuvayan Banerjee, Radhe Srivastava, Ajit Rajwade
Most compressed sensing algorithms do not account for the effect of saturation in noisy compressed measurements, though saturation is an important consequence of the limited dynami…
AR(1) sequence with random coefficients: Regenerative properties and its application
Krishna B. Athreya, Koushik Saha, Radhendushka Srivastava
Let be a sequence of real valued random variables such that , where are i.i.d. and independent of initi…
Feature Sensitive Curve Registration by Kernel Matching
Dibyendu Bhaumik, Radhendushka Srivastava, Debasis Sengupta
In this paper, we argue that the problem of registering two sets of functional data, where the underlying mean function has sharp features, is not properly addressed by methods des…
Feature Sensitive and Automated Curve Registration
Dibyendu Bhaumik, Radhendushka Srivastava, Debasis Sengupta
Given two sets of functional data having a common underlying mean function but different degrees of distortion in time measurements, we provide a method of estimating the time tran…
RAPTT: An Exact Two-Sample Test in High Dimensions Using Random Projections
Radhendushka Srivastava, Ping Li, David Ruppert
In high dimensions, the classical Hotelling's test tends to have low power or becomes undefined due to singularity of the sample covariance matrix. In this paper, this proble…
Effect of sampling on the estimation of drift parameter of continuous time AR(1) processes
Radhendushka Srivastava, Ping Li
We study the effect of stochastic sampling on the estimation of the drift parameter of continuous time AR(1) process. A natural distribution free moment estimator is considered for…
Asymptotic distribution of a consistent cross-spectrum estimator based on uniformly spaced samples of a non-bandlimited process
Radhendushka Srivastava, Debasis Sengupta
It is well known that if the power spectral density of a continuous time stationary stochastic process does not have a compact support, data sampled from that process at any unifor…
Effect of inter-sample spacing constraint on spectrum estimation with irregular sampling
Radhendushka Srivastava, Debasis Sengupta
A practical constraint that comes in the way of spectrum estimation of a continuous time stationary stochastic process is the minimum separation between successively observed sampl…
Consistent estimation of non-bandlimited spectral density from uniformly spaced samples
Radhendushka Srivastava, Debasis Sengupta
In the matter of selection of sample time points for the estimation of the power spectral density of a continuous time stationary stochastic process, irregular sampling schemes suc…