Statistical structure learning to ensure data integrity in smart grid
H Sedghi, E Jonckheere - IEEE Transactions on Smart Grid, 2015 - ieeexplore.ieee.org
Robust control and management of the grid relies on accurate data. Both phasor
measurement units and remote terminal units are prone to false data injection attacks. Thus …
measurement units and remote terminal units are prone to false data injection attacks. Thus …
Robust estimation of tree structured Gaussian graphical models
A Katiyar, J Hoffmann… - … Conference on Machine …, 2019 - proceedings.mlr.press
Consider jointly Gaussian random variables whose conditional independence structure is
specified by a graphical model. If we observe realizations of the variables, we can compute …
specified by a graphical model. If we observe realizations of the variables, we can compute …
On the conditional mutual information in the Gaussian–Markov structured grids
H Sedghi, E Jonckheere - Information and control in networks, 2014 - Springer
Abstract The Supervisory Control and Data Acquisition (SCADA) State Estimator (SE) and
the Phasor Measurement Units (PMUs) network constitute the communication infrastructures …
the Phasor Measurement Units (PMUs) network constitute the communication infrastructures …
A formalized, integrated and visual approach to stress testing
A Denev, Y Mutnikas - Risk Management, 2016 - Springer
In this paper, we will give for the first time a formal mathematical language to the steps used
currently by financial institutions when calculating the impact of a stress scenario on a …
currently by financial institutions when calculating the impact of a stress scenario on a …
Pooled shrinkage estimator for quadratic discriminant classifier: an analysis for small sample sizes in face recognition
SS Ali, T Howlader, SMM Rahman - International Journal of Machine …, 2018 - Springer
The quadratic discriminant classifier (QDC) is a well-known parametric Bayesian classifier
that has been successfully applied to statistical pattern recognition problems. One such …
that has been successfully applied to statistical pattern recognition problems. One such …
Statistical Structure Learning, Towards a Robust Smart Grid
H Sedghi, E Jonckheere - arXiv preprint arXiv:1403.1863, 2014 - arxiv.org
Robust control and maintenance of the grid relies on accurate data. Both PMUs and state
estimators are prone to false data injection attacks. Thus, it is crucial to have a mechanism …
estimators are prone to false data injection attacks. Thus, it is crucial to have a mechanism …
Mutual Conditional Independence and its Applications to Inference in Markov Networks
N Gauraha - arXiv preprint arXiv:1603.03733, 2016 - arxiv.org
The fundamental concepts underlying in Markov networks are the conditional independence
and the set of rules called Markov properties that translates conditional independence …
and the set of rules called Markov properties that translates conditional independence …
Stochastic Optimization in High Dimension
H Sedghi - 2015 - search.proquest.com
In this thesis, we consider two main problems in learning with big data: data integrity and
high dimension. We specifically consider the problem of data integrity in smart grid as it is of …
high dimension. We specifically consider the problem of data integrity in smart grid as it is of …
ADMM Algorithm for Graphical Lasso with an Element-wise Norm Constraint
K Mohan - arXiv preprint arXiv:1311.7198, 2013 - arxiv.org
We consider the problem of Graphical lasso with an additional $\ell_ {\infty} $ element-wise
norm constraint on the precision matrix. This problem has applications in high-dimensional …
norm constraint on the precision matrix. This problem has applications in high-dimensional …