Stat-Me
Unsupervised Classification for Tiling Arrays: ChIP-chip and Transcriptome
Hyper-g Priors for Generalized Linear Models
Cluster Forests
Statistical Inference for Valued-Edge Networks: Generalized Exponential Random Graph Models
A Kernel Approach to Tractable Bayesian Nonparametrics
On Identifying Significant Edges in Graphical Models of Molecular Networks
Dos and donts of reduced chi-squared
Variable selection for transportability
Bayesian versus frequentist upper limits
Adapting to Non-stationarity with Growing Expert Ensembles
Heavy-Tailed Processes for Selective Shrinkage
Exact recording of Metropolis-Hastings-class Monte Carlo simulations using one bit per sample
Topology Discovery of Sparse Random Graphs With Few Participants
The EM Algorithm and the Rise of Computational Biology
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Models for transcript quantification from RNA-Seq
A Probabilistic Perspective on Gaussian Filtering and Smoothing
Non-Gaussian Quasi Maximum Likelihood Estimation of GARCH Models
A Statistical Social Network Model for Consumption Data in Food Webs
Graph-Valued Regression
Blind Minimax Estimation
On the equivalence of the microcanonical and the canonical ensembles: a geometrical approach
