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Compressive Network Analysis
network data analysis compressive sensing Radon basis pursuit
2016/1/20
Modern data acquisition routinely produces massive amounts of network data.Though many methods and models have been proposed to analyze such data, the research of network data is largely disconnected ...
On l2 Error Bounds of the Elastic Net when p>>n
Lasso naive Elastic Net Elastic Net model selection consistency estimation consistency
2016/1/20
We study the estimation property of the Elastic Net in high-dimensional settings where the number of parameters p is comparable to or larger than the sample size n. In such a situation one often assum...
Near Unit Root in the Spatial Autoregressive Model
Spatial autoregressive model Spatial unit root Near unit root Two stage least square Quasi-maximum likelihood estimatio
2016/1/19
This paper studies the spatial autoregressive (SAR) model for cross sectional data when the true spatial e¤ect parameter is near unity. We decompose the data generating process into an unstable compon...
Asymmetric Nested Lattice Samples
Computer experiment Design of experiments Asymmetric orthogonal ar- ray Orthogonal array based Latin hypercube Sequential design
2016/1/19
We propose an approach for constructing asymmetric nested lattice samples by randomizing asymmetric nested orthogonal arrays. Such designs possess a desirable nested structure and have attractive spac...
The Lasso under Poisson-like Heteroscedasticity
Lasso Poisson-like Model Sign Consistency Heteroscedas- ticity
2016/1/19
The performance of the Lasso is well understood under the assumptions of the standard sparse linear model with homoscedastic noise. However, in several applications, the standard model does not descri...
Nonparametric Regression with Discrete Covariate and Missing Values
Nonparametric Regression Discrete kernel smoothing Imputation Missing Values Variance Reduction
2016/1/19
We consider nonparametric regression with a mixture of continuous and discrete ex-planatory variables where realizations of the response variable may be missing. An impu-tation based nonparametric reg...
An Efficient Method for Large-scale Slack Allocation
timing graph, slack allocation delay budgeting convex optimization
2015/7/9
We consider a timing or project graph, with given delays on the edges and given arrival times at the source and sink nodes. We are to find the arrival times at the other nodes; these determine the tim...
Utilizing Statistical Semantic Similarity Techniques for Ontology Mapping– with Applications to AEC Standard Models
ontology mapping similarity analysis information interoperation statistical analysis techniques
2015/6/30
In the Architecture, Engineering and Construction (AEC) industry, there exist a number of ontological standards to describe the semantics of building models.Although the standards share similar scopes...
Exploiting Structural Complexity for Robust and Rapid Hyperspectral Imaging
Hyperspectral imaging de-noising Limited an-gle tomography low-rank recovery
2013/6/14
This paper presents several strategies for spectral de-noising of hyperspectral images and hypercube reconstruction from a limited number of tomographic measurements. In particular we show that the no...
Privileged Information for Data Clustering
Clustering Privileged Information Hidden Information Master-Class Learning Machine Learning
2013/6/17
Many machine learning algorithms assume that all input samples are independently and identically distributed from some common distribution on either the input space X, in the case of unsupervised lear...
Predicting the Severity of Breast Masses with Data Mining Methods
Breast cancer data mining decision tree neural network support vector machine
2013/6/17
Mammography is the most effective and available tool for breast cancer screening. However, the low positive predictive value of breast biopsy resulting from mammogram interpretation leads to approxima...
Capacity Value of Additional Generation: Probability Theory and Sampling Uncertainty
Power system planning Power system operation Power system reliability Risk analysis Wind energy
2013/6/17
The concept of capacity value is widely used to quantify the contribution of additional generation (most notably renewables) within generation adequacy assessments. This paper surveys the existing pro...
A proportional hazard model for the estimation of ionosphere storm occurrence risk
proportional hazard model the estimation ionosphere storm occurrence risk
2013/6/14
Severe Ionosphere magnetic storms are feared events for integrity and continuity of navigation systems such as EGNOS, the European SBAS (Satellite-Based Augmentation System) complementing GPS and an a...
Optimal Periodic Sensor Scheduling in Large-Scale Dynamical Networks
Dynamic system state estimation sensor scheduling sparsity sensor networks
2013/6/14
We consider the problem of finding optimal time-periodic sensor schedules for estimating the state of a large-scale dynamical system. We assume that a large number of sensors have been deployed and th...
Information Criteria for Deciding between Normal Regression Models
Information Criteria Deciding between Normal Regression Models
2013/6/14
Regression models fitted to data can be assessed on their goodness of fit, though models with many parameters should be disfavored to prevent over-fitting. Statisticians' tools for this are little kno...