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Affiliation:	University of Cambridge
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• Residual Permutation Test for High-Dimensional Regression Coefficient Testing
• A Conditional Dependence Measure with Applications to Undirected Graphical Models
• Third and Fourth Cumulants in Independent Component Analysis
• Analysis of complex phenotypes in genomics
• Text Mining in Dynamic Networks of Documents
• General Bayesian updating and model misspecification
• Robust Matrix Completion
• Stein estimation of the intensity of a spatial homogeneous Poisson point process
• A Framework for Elastic Shape Analysis of Objects
• Stable Weights that Balance Covariates for Causal Inference and Estimation with Incomplete Outcome Data
• Resource Allocation for Statistical Estimation
• Title to be confirmed
• Sparse CCA: Statistical and Computational Limits
• Learning Markov Networks for Mixed Big Data: Applications to Cancer Genomics
• Complexity analysis of the Lasso regularization path and an application of sparsity to isoform detection in RNA-seq data
• Spectral thresholding in quantum state estimation for low rank states
• Some ideas in nonparametric estimation
• Algorithmic Approaches to Statistical Estimation under Structural Constraints
• Bayesian nonparametrics with heterogeneous data
• A novel (pre-)metric for causal graphs
• On the use of non-local priors for joint high-dimensional estimation and selection
• Title to be confirmed
• Model Selection in High-Dimensional Misspecified Models
• Title to be confirmed
• Dynamic functional principal components
• Title to be confirmed
• Analysis and Forecasting of Locally Stationary Time Series
• Average derivative projection pursuit regression
• Title to be confirmed
• Ranking from pairwise comparisons using Seriation
• Low rank as a model for quantum and classical estimation problems
• Adaptive posterior contraction
• Flexible multiple testing using closed testing and Simes
• Semivarying Coefficient Models for Capture--recapture Data: Colony Size Estimation for the Little Penguin
• Selection and estimation in sparse, high-dimensional models
• Selection and estimation in sparse, high-dimensional models
• Adaptive Piecewise Polynomial Estimation via Trend Filtering
• Histograms, Graph Limits, and the Asymptotic Behavior of Large Networks
• Information Geometry: From Divergence Functions to Geometric Structures
• It is hard to be strongly faithful
• Limit theorems for nearly unstable Hawkes processes
• Alpha-Stable Poisson-Kingman Processes: Some Applications and Methodologies
• Statistical modelling of networks in disease biology
• Invariant Coordinate Selection revisited: Fisher Symmetry and Symmetric Component Analysis
• High-Dimensional Covariance Structure Estimation
• The Double Sin of the Skew-Normal: Skew-Symmetric Families of Distributions and Fisher Information
• Asymptotics for In-Sample Density Forecasting
• Stein's method, information theory and Bayesian statistics
• Detection of Changepoints in Multiple Channels
• Uniform Ergodicity of the Iterated Conditional SMC and Geometric Ergodicity of Particle Gibbs samplers
• Sharp bounds for compressive learning
• High Dimensional Influence Measure
• Regret-regression for optimal dynamic treatment allocation, without and with missing data
• High-dimensional causal inference
• The use of survey weights in regression modelling
• Statistical Risk Characterization of Penalized Likelihood Procedures: An Information-Theoretic Determination
• Unitary operators, empirical processes and goodness of fit problem in R^d
• Nonparametric estimation under shape constraints
• Matching Quantiles Estimation
• Implementing (Multiple) Monte Carlo Tests
• The Geometry of Needlets Excursion Sets